Further advances on Bayesian Ying-Yang harmony learning

After a short tutorial on the fundamentals of Bayes approaches and Bayesian Ying-Yang (BYY) harmony learning, this paper introduces new progresses. A generic information harmonising dynamics of BYY harmony learning is proposed with the help of a Lagrange variety preservation principle, which provide...

Full description

Saved in:

Bibliographic Details
Published in:	Applied informatics Vol. 2; no. 1; pp. 1 - 45
Main Author:	Xu, Lei
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 13.06.2015 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Bayesian analysis Bioinformatics Computer Applications Computer Imaging Computer Science Factor analysis Health Informatics Health Sciences Machine learning Manifolds (mathematics) Mathematical analysis Matrix methods Medicine Pattern Recognition and Graphics Problem solving Regression analysis Search algorithms Statistics for Life Sciences Vision nonGaussian factors Factor analysis Binary factors Lagrange Multivariate regression Ying-Yang alternation Bilinear matrix system Local factors Linear mixed model Automatic model selection Temporal factors De-noised Gaussian mixture Variety preservation
ISSN:	2196-0089, 2196-0089
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	After a short tutorial on the fundamentals of Bayes approaches and Bayesian Ying-Yang (BYY) harmony learning, this paper introduces new progresses. A generic information harmonising dynamics of BYY harmony learning is proposed with the help of a Lagrange variety preservation principle, which provides Lagrange-like implementations of Ying-Yang alternative nonlocal search for various learning tasks and unifies attention, detection, problem-solving, adaptation, learning and model selection from an information harmonising perspective. In this framework, new algorithms are developed to implement Ying-Yang alternative nonlocal search for learning Gaussian mixture and several typical exemplars of linear matrix system, including factor analysis (FA), mixture of local FA, binary FA, nonGaussian FA, de-noised Gaussian mixture, sparse multivariate regression, temporal FA and temporal binary FA, as well as a generalised bilinear matrix system that covers not only these linear models but also manifold learning, gene regulatory networks and the generalised linear mixed model. These algorithms are featured with a favourable nature of automatic model selection and a unified formulation in performing unsupervised learning and semi-supervised learning. Also, we propose a principle of preserving multiple convex combinations, which leads alternative search algorithms. Finally, we provide a chronological outline of the history of BYY learning studies.
AbstractList	After a short tutorial on the fundamentals of Bayes approaches and Bayesian Ying-Yang (BYY) harmony learning, this paper introduces new progresses. A generic information harmonising dynamics of BYY harmony learning is proposed with the help of a Lagrange variety preservation principle, which provides Lagrange-like implementations of Ying-Yang alternative nonlocal search for various learning tasks and unifies attention, detection, problem-solving, adaptation, learning and model selection from an information harmonising perspective. In this framework, new algorithms are developed to implement Ying-Yang alternative nonlocal search for learning Gaussian mixture and several typical exemplars of linear matrix system, including factor analysis (FA), mixture of local FA, binary FA, nonGaussian FA, de-noised Gaussian mixture, sparse multivariate regression, temporal FA and temporal binary FA, as well as a generalised bilinear matrix system that covers not only these linear models but also manifold learning, gene regulatory networks and the generalised linear mixed model. These algorithms are featured with a favourable nature of automatic model selection and a unified formulation in performing unsupervised learning and semi-supervised learning. Also, we propose a principle of preserving multiple convex combinations, which leads alternative search algorithms. Finally, we provide a chronological outline of the history of BYY learning studies.
ArticleNumber	5
Author	Xu, Lei
Author_xml	– sequence: 1 givenname: Lei surname: Xu fullname: Xu, Lei email: lxu@cse.cuhk.edu.hk organization: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Department of Computer Science and Engineering, The Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University
BookMark	eNp9kE1LAzEQhoMoWGt_gLcFz6tJNpuPoxarQsFLLz2F2WzSbmmTmmyF_ntT1kMR9DDMB-8zM7w36NIHbxG6I_iBEMkfE8N1VZeY5MBYluwCjShRPHdSXZ7V12iS0iZrCMeYSTZCYnaI_drGAtov8MamIvjiGY42deCLZedX5RL8qlhD3AV_LLYWos_TW3TlYJvs5CeP0WL2spi-lfOP1_fp07w0FDNWgmtITVnNnCCSNaC4aYxRjhhaCdpa0xALlamV4cJa4bhrOFataCmXvGLVGN0Pa_cxfB5s6vUmHKLPFzVRUiheV1xmlRhUJoaUonXadD30XfB9hG6rCdYnn_Tgk84-6ZNP-rSf_CL3sdtBPP7L0IFJWetXNp799Cf0DaJZexg
CitedBy_id	crossref_primary_10_1186_s40535_015_0016_4 crossref_primary_10_1186_s40535_015_0007_5
Cites_doi	10.1038/nmeth.2848 10.1016/j.neucom.2012.12.069 10.1038/ng.2876 10.1109/TAC.1974.1100705 10.1007/978-94-015-8480-7 10.1007/BF02294359 10.1162/neco.1996.8.1.129 10.1073/pnas.2136632100 10.1016/S0893-6080(02)00084-9 10.1093/comjnl/42.4.270 10.1038/nrm2503 10.1038/nrg3244 10.1080/00949659908811970 10.1016/j.csda.2013.04.005 10.1007/978-1-4615-2025-2_5 10.1111/1467-9868.00196 10.1016/j.neucom.2013.09.061 10.1007/978-1-4615-6131-6 10.1038/nrg3722 10.1162/089976603321780317 10.1007/BF02293851 10.1098/rspa.1946.0056 10.1214/aos/1176344611 10.1214/aos/1176344136 10.1016/j.csda.2006.07.020 10.1023/A:1007665907178 10.1016/j.laa.2012.07.001 10.1145/361573.361582 10.1162/neco.1995.7.5.889 10.1016/0005-1098(78)90005-5 10.1038/nmeth.2815 10.1007/978-3-642-36669-7_87 10.1007/978-3-540-68860-0_3 10.1109/72.238318 10.1109/18.720554 10.1007/s11460-011-0135-1 10.1007/s11460-011-0149-8 10.1137/1026034 10.1109/34.990138 10.1515/jib-2012-198 10.1109/TSP.2010.2088391 10.1111/j.2517-6161.1996.tb02080.x 10.1007/s10898-008-9364-0 10.1016/S0925-2312(98)00051-4 10.1142/S0129065701000497 10.1016/S0925-2312(97)00091-X 10.1007/s11460-011-0153-z 10.1109/ICPR.1992.201826 10.1080/00031305.1985.10479425 10.1007/s11460-010-0108-9 10.1007/3-540-44491-2_18 10.1016/S0167-8655(97)00121-9 10.1111/j.2517-6161.1977.tb01600.x 10.1109/TNN.2004.828767 10.1007/s11460-011-0146-y 10.1007/978-1-4471-0715-6_26 10.1007/s11460-011-0150-2 10.1016/S0893-6080(03)00119-9 10.1109/CIBCB.2012.6217258 10.1186/1477-5956-9-S1-S18 10.1007/978-3-540-71984-7_14 10.1109/72.935094 10.1016/j.patcog.2006.12.016 10.1109/78.847796 10.1007/s11460-012-0190-2 10.1109/TNN.2004.833302
ContentType	Journal Article
Copyright	Xu. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Applied Informatics is a copyright of Springer, (2015). All Rights Reserved.
Copyright_xml	– notice: Xu. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. – notice: Applied Informatics is a copyright of Springer, (2015). All Rights Reserved.
DBID	C6C AAYXX CITATION 3V. 7XB 8AL 8FE 8FG 8FK ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- M0N P5Z P62 PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U
DOI	10.1186/s40535-015-0008-4
DatabaseName	Springer Nature OA Free Journals CrossRef ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) Computing Database (Alumni Edition) ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One ProQuest Central Korea ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database Computing Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic
DatabaseTitle	CrossRef Publicly Available Content Database Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Central (New) Advanced Technologies & Aerospace Collection ProQuest Computing ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni)
DatabaseTitleList	Publicly Available Content Database
Database_xml	– sequence: 1 dbid: PIMPY name: ProQuest Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Medicine Computer Science
EISSN	2196-0089
EndPage	45
ExternalDocumentID	10_1186_s40535_015_0008_4
GroupedDBID	0R~ 3V. 8FE 8FG AAKKN ABEEZ ABFTD ABUWG ACACY ACGFS ACULB ADINQ AFGXO AFKRA AHBYD AHSBF ALMA_UNASSIGNED_HOLDINGS AMKLP ARAPS ASPBG AZQEC BENPR BGLVJ BPHCQ C24 C6C CCPQU DWQXO EBS EJD GNUQQ GROUPED_DOAJ HCIFZ K6V K7- M0N M~E OK1 P62 PIMPY PQQKQ PROAC RSV SOJ AAYXX AFFHD CITATION PHGZM PHGZT PQGLB 7XB 8AL 8FK JQ2 PKEHL PQEST PQUKI PRINS Q9U
ID	FETCH-LOGICAL-c2044-afb152454f7184ba96cbcc9f1c2372decb1ea3c59c67ee7f6fb609d7d2686343
IEDL.DBID	P5Z
ISSN	2196-0089
IngestDate	Fri Jul 25 07:36:20 EDT 2025 Sat Nov 29 07:47:45 EST 2025 Tue Nov 18 21:43:04 EST 2025 Fri Feb 21 02:34:53 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	1
Keywords	nonGaussian factors Factor analysis Binary factors Lagrange Multivariate regression Ying-Yang alternation Bilinear matrix system Local factors Linear mixed model Automatic model selection Temporal factors De-noised Gaussian mixture Variety preservation
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c2044-afb152454f7184ba96cbcc9f1c2372decb1ea3c59c67ee7f6fb609d7d2686343
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
OpenAccessLink	https://www.proquest.com/docview/1987965368?pq-origsite=%requestingapplication%
PQID	1987965368
PQPubID	2046128
PageCount	45
ParticipantIDs	proquest_journals_1987965368 crossref_citationtrail_10_1186_s40535_015_0008_4 crossref_primary_10_1186_s40535_015_0008_4 springer_journals_10_1186_s40535_015_0008_4
PublicationCentury	2000
PublicationDate	20150613
PublicationDateYYYYMMDD	2015-06-13
PublicationDate_xml	– month: 6 year: 2015 text: 20150613 day: 13
PublicationDecade	2010
PublicationPlace	Berlin/Heidelberg
PublicationPlace_xml	– name: Berlin/Heidelberg – name: Heidelberg
PublicationTitle	Applied informatics
PublicationTitleAbbrev	Appl Inform
PublicationYear	2015
Publisher	Springer Berlin Heidelberg Springer Nature B.V
Publisher_xml	– name: Springer Berlin Heidelberg – name: Springer Nature B.V
References	Hoerl (CR18) 1985; 39 Tipping, Bishop (CR38) 1999; 61 Belkin, Niyogi (CR6) 2003; 15 Redner, Walker (CR28) 1984; 26 Xu (CR50) 1996 CR39 McGrory, Titterington (CR23) 2007; 51 Fang, Rajasekera, Tsao (CR14) 1997 CR79 CR34 CR78 CR33 CR77 CR32 CR76 CR75 Zou, Lippert, Heckerman, Aryee, Listgarten (CR90) 2014; 11 Xu, Krzyzak, Oja (CR48) 1993; 4 CR74 CR72 CR71 CR70 Karlebach, Shamir (CR21) 2008; 9 Bar-Joseph, Gitter, Simon (CR5) 2012; 13 Barron, Rissanen, Yu (CR3) 1998; 44 Yang, Zaitlen, Goddard, Visscher, Price (CR88) 2014; 46 Dayan, Hinton, Neal, Zemel (CR9) 1995; 7 Diaconis, Ylvisaker (CR12) 1979; 7 Bishop (CR8) 2001 Figueiredo, Jain (CR15) 2002; 24 Xu, Krzyzak, Oja (CR47) 1992 CR43 Xu (CR49) 1995 CR87 CR42 CR86 Shi, Liu, Tu, Xu (CR35) 2014; 139 CR41 CR40 CR84 Dempster, Laird, Rubin (CR10) 1977; 39 Tu, Xu (CR44) 2014; 134 Xu (CR73) 2002; 15 CR83 CR80 Rissanen (CR29) 1978; 14 Bartels, Stewart (CR4) 1972; 15 Jeffreys (CR19) 1946; 186 Liao, Boscolo, Yang, Tran, Sabatti, Roychowdhury (CR22) 2003; 100 Tikhonov, Goncharsky, Stepanov, Yagola (CR37) 1995 Miyajima (CR24) 2013; 439 Wallace, Dowe (CR45) 1999; 42 Morris, Mattick (CR25) 2014; 15 Jordan, Ghahramani, Jaakkola, Saul (CR20) 1999; 37 CR59 CR58 CR57 CR56 CR55 CR54 Dutilleul (CR13) 1999; 64 CR53 Xu (CR82) 2009 Akaike (CR2) 1987; 52 CR52 Tibshirani (CR36) 1996; 58 Gupta, Nagar (CR17) 1999 Floudas, Visweswaran (CR16) 1995 Chen, Heng, Xu (CR7) 2014; 1 Zhou, Stephens (CR89) 2014; 11 Xu (CR85) 2011; 6 Schwarz (CR31) 1978; 6 CR69 Akaike (CR1) 1974; 19 CR68 CR67 CR66 Pang, Tu, Wu, Xu (CR27) 2013 CR65 Ntzoufras, Tarantola (CR26) 2013; 66 CR64 Xu (CR81) 2008 CR63 CR62 CR61 CR60 Wang, Shi, Du, Liu, Xu, Bao (CR46) 2011; 6 Rubin, Thayer (CR30) 1982; 47 Demidenko (CR11) 2013 Xu, Jordan (CR51) 1996; 8 AP Dempster (8_CR10) 1977; 39 E Demidenko (8_CR11) 2013 Z Pang (8_CR27) 2013 S Tu (8_CR44) 2014; 134 G Chen (8_CR7) 2014; 1 P Dutilleul (8_CR13) 1999; 64 L Xu (8_CR73) 2002; 15 L Xu (8_CR81) 2008 P Dayan (8_CR9) 1995; 7 8_CR58 8_CR57 R Tibshirani (8_CR36) 1996; 58 8_CR59 8_CR52 8_CR54 8_CR53 8_CR56 8_CR55 CM Bishop (8_CR8) 2001 P Wang (8_CR46) 2011; 6 L Xu (8_CR47) 1992 8_CR80 RW Hoerl (8_CR18) 1985; 39 Z Bar-Joseph (8_CR5) 2012; 13 8_CR83 8_CR41 8_CR40 L Xu (8_CR48) 1993; 4 8_CR84 CA Floudas (8_CR16) 1995 8_CR43 8_CR87 8_CR42 8_CR86 MI Jordan (8_CR20) 1999; 37 H Akaike (8_CR2) 1987; 52 L Shi (8_CR35) 2014; 139 8_CR70 J Zou (8_CR90) 2014; 11 L Xu (8_CR51) 1996; 8 M Belkin (8_CR6) 2003; 15 8_CR79 KV Morris (8_CR25) 2014; 15 H Akaike (8_CR1) 1974; 19 J Yang (8_CR88) 2014; 46 8_CR39 AK Gupta (8_CR17) 1999 L Xu (8_CR85) 2011; 6 8_CR72 8_CR71 H Jeffreys (8_CR19) 1946; 186 S Miyajima (8_CR24) 2013; 439 DB Rubin (8_CR30) 1982; 47 8_CR74 X Zhou (8_CR89) 2014; 11 CA McGrory (8_CR23) 2007; 51 8_CR32 8_CR76 8_CR75 8_CR34 8_CR78 8_CR33 8_CR77 JC Liao (8_CR22) 2003; 100 ME Tipping (8_CR38) 1999; 61 MAF Figueiredo (8_CR15) 2002; 24 P Diaconis (8_CR12) 1979; 7 L Xu (8_CR50) 1996 CS Wallace (8_CR45) 1999; 42 G Karlebach (8_CR21) 2008; 9 J Rissanen (8_CR29) 1978; 14 8_CR69 8_CR68 S-C Fang (8_CR14) 1997 A Tikhonov (8_CR37) 1995 L Xu (8_CR82) 2009 RH Bartels (8_CR4) 1972; 15 L Xu (8_CR49) 1995 8_CR61 8_CR60 8_CR63 A Barron (8_CR3) 1998; 44 8_CR62 8_CR65 I Ntzoufras (8_CR26) 2013; 66 RA Redner (8_CR28) 1984; 26 8_CR64 G Schwarz (8_CR31) 1978; 6 8_CR67 8_CR66
References_xml	– ident: CR70 – volume: 11 start-page: 407 issue: 4 year: 2014 end-page: 409 ident: CR89 article-title: Efficient multivariate linear mixed model algorithms for genome-wide association studies publication-title: Nat Methods doi: 10.1038/nmeth.2848 – start-page: 1546 year: 1996 end-page: 1551 ident: CR50 article-title: How many clusters?: A ying-yang machine based theory for a classical open problem in pattern recognition publication-title: Neural Netw, 1996., IEEE International Conference On – volume: 134 start-page: 149 year: 2014 end-page: 158 ident: CR44 article-title: Learning binary factor analysis with automatic model selection publication-title: Neurocomputing doi: 10.1016/j.neucom.2012.12.069 – ident: CR68 – ident: CR74 – volume: 46 start-page: 100 issue: 2 year: 2014 end-page: 106 ident: CR88 article-title: Advantages and pitfalls in the application of mixed-model association methods publication-title: Nat Genet doi: 10.1038/ng.2876 – volume: 19 start-page: 716 issue: 6 year: 1974 end-page: 723 ident: CR1 article-title: A new look at the statistical model identification publication-title: Automatic Control IEEE Trans doi: 10.1109/TAC.1974.1100705 – ident: CR39 – ident: CR87 – year: 1995 ident: CR37 publication-title: Numerical methods for the solution of ill-posed problems doi: 10.1007/978-94-015-8480-7 – volume: 52 start-page: 317 issue: 3 year: 1987 end-page: 332 ident: CR2 article-title: Factor analysis and aic publication-title: Psychometrika doi: 10.1007/BF02294359 – volume: 8 start-page: 129 issue: 1 year: 1996 end-page: 151 ident: CR51 article-title: On convergence properties of the em algorithm for gaussian mixtures publication-title: Neural Comput doi: 10.1162/neco.1996.8.1.129 – ident: CR54 – ident: CR61 – ident: CR80 – ident: CR77 – ident: CR58 – ident: CR84 – volume: 100 start-page: 15522 issue: 26 year: 2003 end-page: 15527 ident: CR22 article-title: Network component analysis: reconstruction of regulatory signals in biological systems publication-title: Proc Natl Acad Sci doi: 10.1073/pnas.2136632100 – volume: 15 start-page: 1125 year: 2002 end-page: 1151 ident: CR73 article-title: Byy harmony neural networks, structural rpcl, and topological self-organizing on mixture models publication-title: Neural Netw doi: 10.1016/S0893-6080(02)00084-9 – volume: 42 start-page: 270 issue: 4 year: 1999 end-page: 283 ident: CR45 article-title: Minimum message length and kolmogorov complexity publication-title: Comput J doi: 10.1093/comjnl/42.4.270 – ident: CR42 – volume: 9 start-page: 770 issue: 10 year: 2008 end-page: 780 ident: CR21 article-title: Modelling and analysis of gene regulatory networks publication-title: Nat Rev Mol Cell Biol doi: 10.1038/nrm2503 – ident: CR71 – start-page: 27 year: 2001 end-page: 34 ident: CR8 article-title: Variational bayesian model selection for mixture distributions publication-title: Artificial Intelligence and Statistics – volume: 13 start-page: 552 issue: 8 year: 2012 end-page: 564 ident: CR5 article-title: Studying and modelling dynamic biological processes using time-series gene expression data publication-title: Nature Rev Genet doi: 10.1038/nrg3244 – volume: 64 start-page: 105 issue: 2 year: 1999 end-page: 123 ident: CR13 article-title: The mle algorithm for the matrix normal distribution publication-title: J Stat Comput Simul doi: 10.1080/00949659908811970 – volume: 66 start-page: 161 year: 2013 end-page: 177 ident: CR26 article-title: Conjugate and conditional conjugate bayesian analysis of discrete graphical models of marginal independence publication-title: Comput Stat Data Anal doi: 10.1016/j.csda.2013.04.005 – ident: CR67 – ident: CR75 – volume: 1 start-page: 1 issue: 2 year: 2014 end-page: 20 ident: CR7 article-title: Projection-embedded byy learning algorithm for gaussian mixture-based clustering publication-title: Appl Inf – start-page: 977 year: 1995 end-page: 988 ident: CR49 article-title: Bayesian-kullback coupled ying-yang machines: Unified learnings and new results on vector quantization publication-title: Proc. Int. Conf. Neural Information Process (ICONIP ‘95) – start-page: 217 year: 1995 end-page: 269 ident: CR16 article-title: Quadratic optimization publication-title: Handbook of Global Optimization doi: 10.1007/978-1-4615-2025-2_5 – volume: 61 start-page: 611 issue: 3 year: 1999 end-page: 622 ident: CR38 article-title: Probabilistic principal component analysis publication-title: J R Stat Soc: Series B (Statistical Methodology) doi: 10.1111/1467-9868.00196 – ident: CR57 – ident: CR32 – ident: CR60 – volume: 139 start-page: 3 year: 2014 end-page: 14 ident: CR35 article-title: Learning local factor analysis versus mixture of factor analyzers with automatic model selection publication-title: Neurocomputing doi: 10.1016/j.neucom.2013.09.061 – ident: CR78 – year: 1997 ident: CR14 publication-title: Entropy Optimization and Mathematical Programming doi: 10.1007/978-1-4615-6131-6 – volume: 15 start-page: 423 issue: 6 year: 2014 end-page: 437 ident: CR25 article-title: The rise of regulatory rna publication-title: Nature Rev Genet doi: 10.1038/nrg3722 – ident: CR64 – volume: 15 start-page: 1373 issue: 6 year: 2003 end-page: 1396 ident: CR6 article-title: Laplacian eigenmaps for dimensionality reduction and data representation publication-title: Neural Comput doi: 10.1162/089976603321780317 – volume: 47 start-page: 69 issue: 1 year: 1982 end-page: 76 ident: CR30 article-title: Em algorithms for ml factor analysis publication-title: Psychometrika doi: 10.1007/BF02293851 – volume: 58 start-page: 267 year: 1996 end-page: 288 ident: CR36 article-title: Regression shrinkage and selection via the lasso publication-title: J R Stat Soc B – start-page: 496 year: 1992 end-page: 499 ident: CR47 article-title: Unsupervised and supervised classifications by rival penalized competitive learning publication-title: Pattern Recognit, 1992. Vol. II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference On – volume: 186 start-page: 453 issue: 1007 year: 1946 end-page: 461 ident: CR19 article-title: An invariant form for the prior probability in estimation problems publication-title: Proc R Soc Lond. Series A. Math Phys Sci doi: 10.1098/rspa.1946.0056 – ident: CR43 – volume: 7 start-page: 269 issue: 2 year: 1979 end-page: 281 ident: CR12 article-title: Conjugate priors for exponential families publication-title: Ann Stat doi: 10.1214/aos/1176344611 – ident: CR66 – ident: CR72 – volume: 6 start-page: 461 issue: 2 year: 1978 end-page: 464 ident: CR31 article-title: Estimating the dimension of a model publication-title: Ann Stat doi: 10.1214/aos/1176344136 – volume: 51 start-page: 5352 year: 2007 end-page: 5367 ident: CR23 article-title: Variational approximations in bayesian model selection for finite mixture distributions publication-title: Comput Stat Data Anal doi: 10.1016/j.csda.2006.07.020 – ident: CR53 – volume: 37 start-page: 183 issue: 2 year: 1999 end-page: 233 ident: CR20 article-title: An introduction to variational methods for graphical models publication-title: Mach Learn doi: 10.1023/A:1007665907178 – volume: 439 start-page: 856 issue: 4 year: 2013 end-page: 878 ident: CR24 article-title: Fast enclosure for solutions of sylvester equations publication-title: Linear Algebra Appl doi: 10.1016/j.laa.2012.07.001 – ident: CR33 – volume: 15 start-page: 820 issue: 9 year: 1972 end-page: 826 ident: CR4 article-title: Solution of the matrix equation ax+ xb= c publication-title: Commun ACM doi: 10.1145/361573.361582 – volume: 7 start-page: 889 issue: 5 year: 1995 end-page: 904 ident: CR9 article-title: The helmholtz machine publication-title: Neural Comput doi: 10.1162/neco.1995.7.5.889 – ident: CR79 – ident: CR56 – ident: CR86 – start-page: 60 year: 2009 end-page: 94 ident: CR82 article-title: Learning algorithms for rbf functions and subspace based functions publication-title: E S Olivas e.a. (ed) Handbook of Research on Machine Learning, Applications and Trends: Algorithms, Methods and Techniques – ident: CR40 – ident: CR63 – volume: 14 start-page: 465 issue: 5 year: 1978 end-page: 471 ident: CR29 article-title: Modeling by shortest data description publication-title: Automatica doi: 10.1016/0005-1098(78)90005-5 – volume: 11 start-page: 309 issue: 3 year: 2014 end-page: 311 ident: CR90 article-title: Epigenome-wide association studies without the need for cell-type composition publication-title: Nat Methods doi: 10.1038/nmeth.2815 – volume: 39 start-page: 1 issue: 1 year: 1977 end-page: 38 ident: CR10 article-title: Maximum likelihood from incomplete data via the em algorithm publication-title: J R Stat Soc – start-page: 719 year: 2013 end-page: 726 ident: CR27 article-title: Discriminative gmm-hmm acoustic model selection using two-level bayesian ying yang harmony learning publication-title: Intelligent Science and Intelligent Data Engineering doi: 10.1007/978-3-642-36669-7_87 – ident: CR69 – start-page: 48 year: 2008 end-page: 78 ident: CR81 article-title: Bayesian ying yang system, best harmony learning, and gaussian manifold based family publication-title: Computational Intelligence: Research Frontiers doi: 10.1007/978-3-540-68860-0_3 – year: 1999 ident: CR17 publication-title: Matrix Variate Distributions – volume: 4 start-page: 636 issue: 4 year: 1993 end-page: 649 ident: CR48 article-title: Rival penalized competitive learning for clustering analysis, rbf net, and curve detection publication-title: Neural Netw IEEE Trans doi: 10.1109/72.238318 – ident: CR65 – volume: 44 start-page: 2743 issue: 6 year: 1998 end-page: 2760 ident: CR3 article-title: The minimum description length principle in coding and modeling publication-title: Inf Theory IEEE Trans doi: 10.1109/18.720554 – volume: 6 start-page: 86 year: 2011 end-page: 119 ident: CR85 article-title: Codimensional matrix pairing perspective of byy harmony learning: hierarchy of bilinear systems, joint decomposition of data-covariance, and applications of network biology publication-title: Front Electr Electron Eng China doi: 10.1007/s11460-011-0135-1 – ident: CR52 – volume: 39 start-page: 186 issue: 3 year: 1985 end-page: 192 ident: CR18 article-title: Ridge analysis 25 years later publication-title: Am Stat – year: 2013 ident: CR11 publication-title: Mixed Models: Theory and Applications with R – volume: 6 start-page: 300 issue: 2 year: 2011 end-page: 317 ident: CR46 article-title: Radar hrrp statistical recognition with temporal factor analysis by automatic bayesian ying-yang harmony learning publication-title: Front Electr Electron Eng China doi: 10.1007/s11460-011-0149-8 – ident: CR34 – ident: CR55 – ident: CR59 – ident: CR76 – ident: CR83 – volume: 26 start-page: 195 issue: 2 year: 1984 end-page: 239 ident: CR28 article-title: Mixture densities, maximum likelihood and the em algorithm publication-title: SIAM Rev doi: 10.1137/1026034 – ident: CR41 – ident: CR62 – volume: 24 start-page: 381 year: 2002 end-page: 396 ident: CR15 article-title: Unsupervised learning of finite mixture models publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.990138 – volume: 9 start-page: 770 issue: 10 year: 2008 ident: 8_CR21 publication-title: Nat Rev Mol Cell Biol doi: 10.1038/nrm2503 – volume: 14 start-page: 465 issue: 5 year: 1978 ident: 8_CR29 publication-title: Automatica doi: 10.1016/0005-1098(78)90005-5 – volume: 186 start-page: 453 issue: 1007 year: 1946 ident: 8_CR19 publication-title: Proc R Soc Lond. Series A. Math Phys Sci doi: 10.1098/rspa.1946.0056 – volume: 42 start-page: 270 issue: 4 year: 1999 ident: 8_CR45 publication-title: Comput J doi: 10.1093/comjnl/42.4.270 – volume: 15 start-page: 1125 year: 2002 ident: 8_CR73 publication-title: Neural Netw doi: 10.1016/S0893-6080(02)00084-9 – volume: 1 start-page: 1 issue: 2 year: 2014 ident: 8_CR7 publication-title: Appl Inf – volume: 26 start-page: 195 issue: 2 year: 1984 ident: 8_CR28 publication-title: SIAM Rev doi: 10.1137/1026034 – ident: 8_CR61 – start-page: 60 volume-title: E S Olivas e.a. (ed) Handbook of Research on Machine Learning, Applications and Trends: Algorithms, Methods and Techniques year: 2009 ident: 8_CR82 – ident: 8_CR42 doi: 10.1515/jib-2012-198 – start-page: 719 volume-title: Intelligent Science and Intelligent Data Engineering year: 2013 ident: 8_CR27 doi: 10.1007/978-3-642-36669-7_87 – volume: 61 start-page: 611 issue: 3 year: 1999 ident: 8_CR38 publication-title: J R Stat Soc: Series B (Statistical Methodology) doi: 10.1111/1467-9868.00196 – volume: 134 start-page: 149 year: 2014 ident: 8_CR44 publication-title: Neurocomputing doi: 10.1016/j.neucom.2012.12.069 – volume: 8 start-page: 129 issue: 1 year: 1996 ident: 8_CR51 publication-title: Neural Comput doi: 10.1162/neco.1996.8.1.129 – ident: 8_CR59 – ident: 8_CR78 – volume: 15 start-page: 1373 issue: 6 year: 2003 ident: 8_CR6 publication-title: Neural Comput doi: 10.1162/089976603321780317 – start-page: 977 volume-title: Proc. Int. Conf. Neural Information Process (ICONIP ‘95) year: 1995 ident: 8_CR49 – ident: 8_CR34 doi: 10.1109/TSP.2010.2088391 – volume: 4 start-page: 636 issue: 4 year: 1993 ident: 8_CR48 publication-title: Neural Netw IEEE Trans doi: 10.1109/72.238318 – volume-title: Entropy Optimization and Mathematical Programming year: 1997 ident: 8_CR14 doi: 10.1007/978-1-4615-6131-6 – volume: 6 start-page: 461 issue: 2 year: 1978 ident: 8_CR31 publication-title: Ann Stat doi: 10.1214/aos/1176344136 – volume: 66 start-page: 161 year: 2013 ident: 8_CR26 publication-title: Comput Stat Data Anal doi: 10.1016/j.csda.2013.04.005 – ident: 8_CR70 – ident: 8_CR74 – volume: 58 start-page: 267 year: 1996 ident: 8_CR36 publication-title: J R Stat Soc B doi: 10.1111/j.2517-6161.1996.tb02080.x – volume: 44 start-page: 2743 issue: 6 year: 1998 ident: 8_CR3 publication-title: Inf Theory IEEE Trans doi: 10.1109/18.720554 – ident: 8_CR84 doi: 10.1007/s10898-008-9364-0 – volume-title: Mixed Models: Theory and Applications with R year: 2013 ident: 8_CR11 – volume: 139 start-page: 3 year: 2014 ident: 8_CR35 publication-title: Neurocomputing doi: 10.1016/j.neucom.2013.09.061 – ident: 8_CR64 – volume: 15 start-page: 423 issue: 6 year: 2014 ident: 8_CR25 publication-title: Nature Rev Genet doi: 10.1038/nrg3722 – volume: 13 start-page: 552 issue: 8 year: 2012 ident: 8_CR5 publication-title: Nature Rev Genet doi: 10.1038/nrg3244 – ident: 8_CR56 doi: 10.1016/S0925-2312(98)00051-4 – ident: 8_CR68 doi: 10.1142/S0129065701000497 – ident: 8_CR62 – ident: 8_CR87 – volume: 7 start-page: 269 issue: 2 year: 1979 ident: 8_CR12 publication-title: Ann Stat doi: 10.1214/aos/1176344611 – ident: 8_CR55 doi: 10.1016/S0925-2312(97)00091-X – ident: 8_CR32 doi: 10.1007/s11460-011-0153-z – start-page: 496 volume-title: Pattern Recognit, 1992. Vol. II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference On year: 1992 ident: 8_CR47 doi: 10.1109/ICPR.1992.201826 – volume: 39 start-page: 186 issue: 3 year: 1985 ident: 8_CR18 publication-title: Am Stat doi: 10.1080/00031305.1985.10479425 – volume: 52 start-page: 317 issue: 3 year: 1987 ident: 8_CR2 publication-title: Psychometrika doi: 10.1007/BF02294359 – volume: 7 start-page: 889 issue: 5 year: 1995 ident: 8_CR9 publication-title: Neural Comput doi: 10.1162/neco.1995.7.5.889 – ident: 8_CR83 doi: 10.1007/s11460-010-0108-9 – volume: 11 start-page: 407 issue: 4 year: 2014 ident: 8_CR89 publication-title: Nat Methods doi: 10.1038/nmeth.2848 – start-page: 27 volume-title: Artificial Intelligence and Statistics year: 2001 ident: 8_CR8 – volume: 6 start-page: 86 year: 2011 ident: 8_CR85 publication-title: Front Electr Electron Eng China doi: 10.1007/s11460-011-0135-1 – volume: 100 start-page: 15522 issue: 26 year: 2003 ident: 8_CR22 publication-title: Proc Natl Acad Sci doi: 10.1073/pnas.2136632100 – ident: 8_CR63 – ident: 8_CR67 doi: 10.1007/3-540-44491-2_18 – start-page: 1546 volume-title: Neural Netw, 1996., IEEE International Conference On year: 1996 ident: 8_CR50 – start-page: 48 volume-title: Computational Intelligence: Research Frontiers year: 2008 ident: 8_CR81 doi: 10.1007/978-3-540-68860-0_3 – volume-title: Numerical methods for the solution of ill-posed problems year: 1995 ident: 8_CR37 doi: 10.1007/978-94-015-8480-7 – ident: 8_CR57 – ident: 8_CR52 doi: 10.1016/S0167-8655(97)00121-9 – volume: 39 start-page: 1 issue: 1 year: 1977 ident: 8_CR10 publication-title: J R Stat Soc doi: 10.1111/j.2517-6161.1977.tb01600.x – ident: 8_CR77 doi: 10.1109/TNN.2004.828767 – volume: 46 start-page: 100 issue: 2 year: 2014 ident: 8_CR88 publication-title: Nat Genet doi: 10.1038/ng.2876 – ident: 8_CR40 doi: 10.1007/s11460-011-0146-y – volume-title: Matrix Variate Distributions year: 1999 ident: 8_CR17 – ident: 8_CR53 – volume: 19 start-page: 716 issue: 6 year: 1974 ident: 8_CR1 publication-title: Automatic Control IEEE Trans doi: 10.1109/TAC.1974.1100705 – ident: 8_CR72 doi: 10.1007/978-1-4471-0715-6_26 – ident: 8_CR33 doi: 10.1007/s11460-011-0153-z – ident: 8_CR39 doi: 10.1007/s11460-011-0150-2 – ident: 8_CR75 doi: 10.1016/S0893-6080(03)00119-9 – ident: 8_CR43 doi: 10.1109/CIBCB.2012.6217258 – volume: 6 start-page: 300 issue: 2 year: 2011 ident: 8_CR46 publication-title: Front Electr Electron Eng China doi: 10.1007/s11460-011-0149-8 – ident: 8_CR66 – volume: 24 start-page: 381 year: 2002 ident: 8_CR15 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.990138 – ident: 8_CR41 doi: 10.1186/1477-5956-9-S1-S18 – ident: 8_CR80 doi: 10.1007/978-3-540-71984-7_14 – ident: 8_CR58 – volume: 51 start-page: 5352 year: 2007 ident: 8_CR23 publication-title: Comput Stat Data Anal doi: 10.1016/j.csda.2006.07.020 – ident: 8_CR69 doi: 10.1109/72.935094 – start-page: 217 volume-title: Handbook of Global Optimization year: 1995 ident: 8_CR16 doi: 10.1007/978-1-4615-2025-2_5 – ident: 8_CR60 – volume: 37 start-page: 183 issue: 2 year: 1999 ident: 8_CR20 publication-title: Mach Learn doi: 10.1023/A:1007665907178 – ident: 8_CR79 doi: 10.1016/j.patcog.2006.12.016 – ident: 8_CR54 – volume: 11 start-page: 309 issue: 3 year: 2014 ident: 8_CR90 publication-title: Nat Methods doi: 10.1038/nmeth.2815 – ident: 8_CR65 doi: 10.1109/78.847796 – ident: 8_CR71 – volume: 15 start-page: 820 issue: 9 year: 1972 ident: 8_CR4 publication-title: Commun ACM doi: 10.1145/361573.361582 – volume: 439 start-page: 856 issue: 4 year: 2013 ident: 8_CR24 publication-title: Linear Algebra Appl doi: 10.1016/j.laa.2012.07.001 – volume: 47 start-page: 69 issue: 1 year: 1982 ident: 8_CR30 publication-title: Psychometrika doi: 10.1007/BF02293851 – ident: 8_CR86 doi: 10.1007/s11460-012-0190-2 – volume: 64 start-page: 105 issue: 2 year: 1999 ident: 8_CR13 publication-title: J Stat Comput Simul doi: 10.1080/00949659908811970 – ident: 8_CR76 doi: 10.1109/TNN.2004.833302
SSID	ssj0001600484
Score	1.9126978
Snippet	After a short tutorial on the fundamentals of Bayes approaches and Bayesian Ying-Yang (BYY) harmony learning, this paper introduces new progresses. A generic...
SourceID	proquest crossref springer
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	1
SubjectTerms	Algorithms Artificial Intelligence Bayesian analysis Bioinformatics Computer Applications Computer Imaging Computer Science Factor analysis Health Informatics Health Sciences Machine learning Manifolds (mathematics) Mathematical analysis Matrix methods Medicine Pattern Recognition and Graphics Problem solving Regression analysis Search algorithms Statistics for Life Sciences Vision
SummonAdditionalLinks	– databaseName: SpringerLink Open Access Journals dbid: C24 link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEB50FfHiW1xf5OBJCbZNmsdRxcWDLh5E9FTSJBVBurLdFfbfm2RTX6ig507SMo_OJDPzDcCBE6syKuPYUKsxLa3BihOCU8kVVSQRNKB93l7yfl_c3cnr2MfdtNXubUoy_KmDWQt23FAPReKOvrnvhBaYzsJcngrp6_jOYotDuFhhXitpzGB-u_KzD3oPLL_kQoOL6S3_6-NWYClGlOhkqgKrMGPrNVhupzWgaLxrsHAV0-jrwHvjoQ_8UKwAaNCgRqdqYn1HJbp3L8b3qn5AHtZ6UE9QHC3xsAE3vfObswscJyhgnSWUYlWVzj_TnFbOBdFSSaZLrWWV6ozwzFhdplYRnUvNuLW8YlXJEmm4yZhghJJN6NSD2m4BchSpC-aMM1hNLRGqyj3YmsllnmhKTBeSlqWFjujifsjFUxFOGYIVUxYVjkU-4S0K2oXDtyXPU2iN34h3WzkV0cqawl-YSJYTJrpw1Mrlw-OfNtv-E_UOLGZBsB6wcRc6o-HY7sG8fhk9NsP9oHyvrGHSBw priority: 102 providerName: Springer Nature
Title	Further advances on Bayesian Ying-Yang harmony learning
URI	https://link.springer.com/article/10.1186/s40535-015-0008-4 https://www.proquest.com/docview/1987965368
Volume	2
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center) customDbUrl: eissn: 2196-0089 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001600484 issn: 2196-0089 databaseCode: M~E dateStart: 20140101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 2196-0089 dateEnd: 20181231 omitProxy: false ssIdentifier: ssj0001600484 issn: 2196-0089 databaseCode: P5Z dateStart: 20140901 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 2196-0089 dateEnd: 20181231 omitProxy: false ssIdentifier: ssj0001600484 issn: 2196-0089 databaseCode: K7- dateStart: 20140901 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central Database Suite (ProQuest) customDbUrl: eissn: 2196-0089 dateEnd: 20181231 omitProxy: false ssIdentifier: ssj0001600484 issn: 2196-0089 databaseCode: BENPR dateStart: 20140901 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content Database customDbUrl: eissn: 2196-0089 dateEnd: 20181231 omitProxy: false ssIdentifier: ssj0001600484 issn: 2196-0089 databaseCode: PIMPY dateStart: 20140901 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLink Open Access Journals customDbUrl: eissn: 2196-0089 dateEnd: 20181231 omitProxy: false ssIdentifier: ssj0001600484 issn: 2196-0089 databaseCode: C24 dateStart: 20141201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB6Vx6GX8qy6Lax84ASySOKJ7ZwqQKyoKKsIIcRyiRzbQUgoSzdspf33tbMOC0hw6SUXO5Y1M_aMZ-zvA9hzalVGJYIatJpiaQ1VgjEaZ0KhYpHEFu3z-rcYDuXNTZaHhFsTrlV2e2K7UZux9jnyQ384znjKuPz5-Id61ihfXQ0UGkuw4lESPHVDnt4ucizcGyiGYmYs-WGDHs_EnZ9T_5xaUnztjhYx5puyaOttBmv_O891-BLiTHI0N4wN-GTrTVjrOBxIWNJbIAbTiY8BSbgM0JBxTY7VzPrHlWTkJkdHqr4jHuF6XM9IYJm424arwenVyRkNZApUJxEiVVXpXDWmWDlvhKXKuC61zqpYJ0wkxuoytorpNNNcWCsqXpU8yowwCZecIfsKy_W4tt-AuB6xi-uMW7saLZOqSj3umkmzNNLITA-iTqSFDkDjnu_ioWgPHJIXcy0UTgu-9i0L7MH-8y-Pc5SNjzrvdJIvwoJrioXYe3DQ6e5F83uDff94sB_wOWmNxYM17sDy02Rqd2FV_326byZ9WDk-HeaXfVg6SdB9zwXttxboWvJfF_noH2pC3z0
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LT9wwEB4BrQQXaAuI5dH6AJdWFkk8sZ0DQkC7Au2y6mFVwclybAdVqrKw4aH9UfxH7GzSpZXKjUPPcUaWv_F4xuP5BmDXw6qtTgS16AzF3FmqBWM0zoRGzSKJNdvnj74YDOTFRfZ9Dh7bWpjwrLK1ibWhtiMT7sj3Q3Cc8ZRxeXh9Q0PXqJBdbVtoTNWi5yYPPmSrDs6-enz3kqT7bXhySpuuAtQkESLVRe7PLEyx8GYZc51xkxuTFbFJmEisM3nsNDNpZrhwThS8yHmUWWETLjlD5sXOwxtkUoRt1RN0dqXDw37AJncaS75fYaBP8eF6Gqq3JcU_T7-ZS_tXFrY-3Lor_9myvIPlxosmR1O1fw9zrvwAK22HCtIYrFUQ3btx8HBJ89ShIqOSHOuJC6Wj5NKvBb3U5RUJ_N2jckKaHhpXazB8jdmvw0I5Kt0GED8i9l6r9ZbJoGNSF2lglbNplkYGme1A1CKoTEOjHrp5_FJ1OCW5moKuPOghsy8VduDz71-upxwiLw3eboFWjTmp1AzlDnxpVeXZ538J23xZ2CdYPB2e91X_bNDbgqWk1tNAS7kNC7fjO7cDb8397c9q_LFWdALqlTXoCUPyNxg
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8QwEB50FfHiY1Vcnzl4UoLdJk3So69FUZc9LLKeSpqkiyBd2a7C_nuTNvWFCuK5kxLmwUzyZb4BOLBmlVqGHGtqFKap0VhyQnA75pJKEghasn3e3fBuVwwGcc_POS3q1-41JFn1NDiWpnxy_KSzKsQFOy6ooyWxx-DIdUULTGdhzgFSzsXPfLtDecnCnIdSj2Z-u_JzPnovMr_gomW66Sz_e6MrsOQrTXRSucYqzJi8Ccv1FAfkg7oJC7ceXl8D3nkeu4IQ-ZcBBRrl6FROjeu0RPd2E_he5kPk6K5H-RT5kRPDdeh3Lvpnl9hPVsAqDCjFMktt3qYRzWxqoqmMmUqVirO2CgkPtVFp20iiolgxbgzPWJayINZch0wwQskGNPJRbjYBWYm2LfK0DWRFDREyixwJm47iKFCU6BYEtXoT5VnH3fCLx6Q8fQiWVCpKrIocEC4S2oLDtyVPFeXGb8I7tc0SH31F4i5SYhYRJlpwVNvow-effrb1J-l9WOidd5Kbq-71NiyGpY0dp-MONCbjZ7ML8-pl8lCM90qffAUEnd3Q
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Further+advances+on+Bayesian+Ying-Yang+harmony+learning&rft.jtitle=Applied+informatics&rft.au=Xu%2C+Lei&rft.date=2015-06-13&rft.pub=Springer+Nature+B.V&rft.eissn=2196-0089&rft.volume=2&rft.issue=1&rft.spage=1&rft.epage=45&rft_id=info:doi/10.1186%2Fs40535-015-0008-4
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2196-0089&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2196-0089&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2196-0089&client=summon