Suchergebnisse - "Difference Convex Programming"

Joint Resource Allocation for Full-Duplex Ambient Backscatter Communication: A Difference Convex Algorithm

Autoren: Madavani, Fatemeh Kaveh Soleimanpour-moghadam, Mohadeseh Talebi, Siamak et al.

Quelle: IEEE Transactions on Wireless Communications. 21(10):8022-8035

Schlagwörter: Ambient backscatter communication, Backscatter, Difference Convex Programming, Multi-objective optimization problem, Non-convex problem, Optimization, Radio frequency, Receivers, Resource allocation, Resource management, Throughput, Wireless communication, Wireless-driven IoT

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-312596

A Farkas lemma for difference sublinear systems and quasidifferentiable programming

Autoren: Vaithilingam Jeyakumar B. M. Glover Werner Oettli

Quelle: Mathematical Programming. 63:109-125

Schlagwörter: Programming in abstract spaces, quasidifferentiable programming problems, optimality conditions, Nonsmooth analysis, 0211 other engineering and technologies, 02 engineering and technology, Optimality conditions for problems in abstract spaces, difference convex programming, 01 natural sciences, alternative theorems, generalized Robinson stability conditions, Nonlinear programming, Farkas-Minkowski theorem, 0101 mathematics, subdifferentials, Convexity of real functions of several variables, generalizations

Dateibeschreibung: application/xml

Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality

Autoren: Lan Xue Annie Qu Xiaotong Shen et al.

Weitere Verfasser: Lan Xue Annie Qu Xiaotong Shen et al.

Quelle: http://jmlr.org/papers/volume13/xue12a/xue12a.pdf.

Schlagwörter: coordinate decent algorithm, difference convex programming, L0- regularization, large-p small-n, model selection, nonparametric function, oracle property, truncated L1 penalty

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.6591; http://jmlr.org/papers/volume13/xue12a/xue12a.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.6591
http://jmlr.org/papers/volume13/xue12a/xue12a.pdf

On efficient large margin semisupervised learning: method and theory

Autoren: Junhui Wang Xiaotong Shen Wei Pan et al.

Weitere Verfasser: Junhui Wang Xiaotong Shen Wei Pan et al.

Quelle: http://www.biostat.umn.edu/ftp/pub/2009/rr2009-004.pdf.

Schlagwörter: Key words, Difference convex programming, classification, nonconvex minimization, regularization

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.9591

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.9591
http://www.biostat.umn.edu/ftp/pub/2009/rr2009-004.pdf

Some Topics in Roc Curves Analysis

Autoren: Huang, Xin

Quelle: Mathematics Dissertations

Schlagwörter: Area under curve, Coordinate descent, Cross-validation, Difference convex programming, Diagnostic test, Over-fitting, Regularization, ROC curve, Thresholding, Variable selection, Mathematics

Dateibeschreibung: application/pdf

Relation: https://scholarworks.gsu.edu/math_diss/3; https://scholarworks.gsu.edu/context/math_diss/article/1002/viewcontent/huang_xin_201105_phd.pdf

Verfügbarkeit: https://scholarworks.gsu.edu/math_diss/3
https://doi.org/10.57709/1919035
https://scholarworks.gsu.edu/context/math_diss/article/1002/viewcontent/huang_xin_201105_phd.pdf

Statistical Methods for Complex and/or High Dimensional Data

Autoren: Qin, Shanshan Wu, Yuehua

Weitere Verfasser: Qin, Shanshan Wu, Yuehua

Schlagwörter: Statistics, coordinate descent, cross-validation, difference convex programming, double leave-one-out, feature grouping, feature selection, high-dimensional, matching quantiles, M-estimation, multivariate regression, non-negative constraint, outlier observations, regularization

Dateibeschreibung: application/pdf

Relation: http://hdl.handle.net/10315/37706

Verfügbarkeit: http://hdl.handle.net/10315/37706

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

Autoren: Huixin Wang Xiaotong Shen Wei Pan et al.

Weitere Verfasser: Huixin Wang Xiaotong Shen Wei Pan et al.

Quelle: http://jmlr.org/papers/volume12/wang11c/wang11c.pdf.

Schlagwörter: difference convex programming, gene function annotation, margins, multi-class classification, structured

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.7570; http://jmlr.org/papers/volume12/wang11c/wang11c.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.415.7570
http://jmlr.org/papers/volume12/wang11c/wang11c.pdf

On efficient large margin semisupervised learning: Method and theory

Autoren: Junhui Wang Xiaotong Shen Wei Pan et al.

Weitere Verfasser: Junhui Wang Xiaotong Shen Wei Pan et al.

Quelle: http://users.stat.umn.edu/~xshen/paper/semiem-JMLR.pdf.

Schlagwörter: difference convex programming, classification, nonconvex minimization, regularization

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.3485

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.3485
http://users.stat.umn.edu/~xshen/paper/semiem-JMLR.pdf

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

Autoren: Huixin Wang Xiaotong Shen Wei Pan et al.

Weitere Verfasser: Huixin Wang Xiaotong Shen Wei Pan et al.

Quelle: http://users.stat.umn.edu/%7Exshen/paper/jmrl-h.pdf.

Schlagwörter: difference convex programming, gene function annotation, margins, multi-class classification, structured

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.252.4833

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.252.4833
http://users.stat.umn.edu/%7Exshen/paper/jmrl-h.pdf

On constrained and regularized high-dimensional regression.

Autoren: Shen X Pan W Zhu Y et al.

Quelle: Annals of the Institute of Statistical Mathematics [Ann Inst Stat Math] 2013 Oct; Vol. 65 (5), pp. 807-832.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: [The Institute Country of Publication: Japan NLM ID: 101509177 Publication Model: Print Cited Medium: Print ISSN: 0020-3157 (Print) Linking ISSN: 00203157 NLM ISO Abbreviation: Ann Inst Stat Math Subsets: PubMed not MEDLINE

On Efficient Large Margin Semisupervised Learning: Method and Theory.

Autoren: Wang J Shen X Pan W

Quelle: Journal of machine learning research : JMLR [J Mach Learn Res] 2009 Mar 01; Vol. 10, pp. 719-742.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: MIT Press Country of Publication: United States NLM ID: 101262635 Publication Model: Print Cited Medium: Print ISSN: 1532-4435 (Print) Linking ISSN: 15324435 NLM ISO Abbreviation: J Mach Learn Res Subsets: PubMed not MEDLINE