Výsledky vyhľadávania - kernel recursive least-squares(iris) algorithm

Optimizing radial basis probabilistic neural networks using Recursive Orthogonal Least Squares Algorithms combined with Micro-Genetic Algorithms

Autori: De-Shuang Huang Wenbo Zhao Lin Guo

Zdroj: Proceedings of the International Joint Conference on Neural Networks, 2003.. 3:2277-2282

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://ira.lib.polyu.edu.hk/handle/10397/37721

Single-image super-resolution using kernel recursive least squares.

Autori: Anver, Jesna Abdulla, P.

Zdroj: Signal, Image & Video Processing; Nov2016, Vol. 10 Issue 8, p1551-1558, 8p

Online sequential extreme learning machine with kernels

Autori: SCARDAPANE, SIMONE COMMINIELLO, DANILO SCARPINITI, MICHELE a ďalší

Prispievatelia: SCARDAPANE, SIMONE COMMINIELLO, DANILO SCARPINITI, MICHELE a ďalší

Predmety: Extreme learning machine (ELM), kernel, online learning, recursive least square (RLS)

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000360437300032; volume:26; issue:9; firstpage:2214; lastpage:2220; numberofpages:7; journal:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS; http://hdl.handle.net/11573/670014

Dostupnosť: http://hdl.handle.net/11573/670014
https://doi.org/10.1109/TNNLS.2014.2382094

Neurophysiological Approaches to Lie Detection: A Systematic Review.

Autori: Taha, Bewar Neamat Baykara, Muhammet Alakuş, Talha Burak

Zdroj: Brain Sciences (2076-3425); May2025, Vol. 15 Issue 5, p519, 34p

Predmety: FISHER discriminant analysis, LIE detectors & detection, RECOGNITION (Psychology), DISCRETE wavelet transforms, COMPUTER interfaces

QSAR Regression Models for Predicting HMG-CoA Reductase Inhibition.

Autori: Ancuceanu, Robert Popovici, Patriciu Constantin Drăgănescu, Doina a ďalší

Zdroj: Pharmaceuticals (14248247); Nov2024, Vol. 17 Issue 11, p1448, 31p

Predmety: QSAR models, MACHINE learning, FEATURE selection, STRUCTURE-activity relationships, DATABASES

The 34th Anual Meeting of the Asian Pacific Association for the study of the liver.

Zdroj: Hepatology International; 2025 Suppl 1, Vol. 19, p1-1554, 1554p

Machine learning applications in vadose zone hydrology: A review.

Autori: Li, Xiang Nieber, John L. Kumar, Vipin

Zdroj: Vadose Zone Journal; Jul2024, Vol. 23 Issue 4, p1-31, 31p

Predmety: ARTIFICIAL neural networks, MACHINE learning, DEEP learning, HYDROLOGY, RANDOM forest algorithms

基于核学习方法的短时交通流量预测. (Chinese)

Alternate Title: Short-term traffic flow forecasting based on kernel learning methods. (English)

Autori: 王秋莉 李　军

Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu; Mar2019, Vol. 36 Issue 3, p696-700, 5p

Predmety: TRAFFIC estimation, TRAFFIC flow, LATENT variables, TRAFFIC speed, MACHINE learning, KERNEL functions, KERNEL operating systems, SUPPORT vector machines

Optimization of Teaching Quality Improvement Path Based on Recursive Algorithm in the Construction of Higher Vocational English Gold Classes under the Background of Industry-Teaching Integration.

Autori: Zhang, Xiaoya

Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p6457-6472, 16p

Predmety: VOCATIONAL education, TEACHER evaluation, EFFECTIVE teaching, RECURSIVE functions, ACADEMIC-industrial collaboration, EDUCATIONAL evaluation, BAYESIAN analysis, ENGLISH teachers

Technique for Kernel Matching Pursuit Based on Intuitionistic Fuzzy c -Means Clustering.

Autori: Lei, Yang Zhang, Minqing

Zdroj: Electronics (2079-9292); Jul2024, Vol. 13 Issue 14, p2777, 14p

Predmety: TIME complexity, FUZZY sets, TEST validity, ALGORITHMS, CLASSIFICATION

EEG dynamic source imaging using a regularized optimization with spatio-temporal constraints.

Autori: Kouti M Ansari-Asl K Namjoo E

Zdroj: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Oct; Vol. 62 (10), pp. 3073-3088. Date of Electronic Publication: 2024 May 21.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Výrazy zo slovníka MeSH: Electroencephalography*/methods , Algorithms* , Brain*/physiology , Brain*/diagnostic imaging, Humans ; Signal Processing, Computer-Assisted ; Brain Mapping/methods ; Image Processing, Computer-Assisted/methods

Separability and scatteredness (S&S) ratio-based efficient SVM regularization parameter, kernel, and kernel parameter selection.

Autori: Shamsi, Mahdi Beheshti, Soosan

Zdroj: Pattern Analysis & Applications; Mar2025, Vol. 28 Issue 1, p1-13, 13p

Kolmogorov GAM Networks Are All You Need!

Autori: Polson, Sarah Sokolov, Vadim

Zdroj: Entropy; Jun2025, Vol. 27 Issue 6, p593, 23p

Predmety: MACHINE learning, ARTIFICIAL intelligence, TRANSFORMER models, KOLMOGOROV complexity, STATISTICS

Stochastic multi-class support vector machine based on regular simplex.

Autori: Mohammadi, Tara Jabbari, Hadi Effati, Sohrab

Zdroj: Communications in Statistics: Case Studies & Data Analysis; 2025, Vol. 11 Issue 4, p513-548, 36p

Predmety: SUPPORT vector machines, STOCHASTIC processes, STOCHASTIC models, MONTE Carlo method, STATISTICAL models, SIMPLEX algorithm, MEASUREMENT errors

Mining autonomous student patterns score on LMS within online higher education.

Autori: Ordoñez-Avila, Ricardo Meza, Jaime Ventura, Sebastian

Zdroj: PeerJ Computer Science; May2025, p1-27, 27p

Predmety: LEARNING management system, ONLINE education, BOOSTING algorithms, HIGHER education, PREDICTION models, DATA mining, AUTODIDACTICISM, FEATURE selection

Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus.

Autori: Du, Ke-Lin Zhang, Rengong Jiang, Bingchun a ďalší

Zdroj: Mathematics (2227-7390); Feb2025, Vol. 13 Issue 4, p587, 49p

Predmety: ENSEMBLE learning, MULTISENSOR data fusion, RANDOM forest algorithms, MACHINE learning, RESEARCH personnel, DEEP learning

Elman Network Classifier Based on Hyperactivity Rat Swarm Optimizer and Its Applications for AlSi10Mg Process Classification.

Autori: Ni, Rui Chen, Hanning Liang, Xiaodan a ďalší

Zdroj: Processes; Sep2025, Vol. 13 Issue 9, p2802, 20p

Predmety: CLASSIFICATION, OPTIMIZATION algorithms, RECURRENT neural networks, NONLINEAR equations, MATHEMATICAL optimization, ARTIFICIAL intelligence

Scalable decision fusion algorithm for enabling decentralized computation in distributed, big data clustering problems.

Autori: Jennath, H. S. Asharaf, S.

Zdroj: International Journal of Machine Learning & Cybernetics; Sep2024, Vol. 15 Issue 9, p3803-3827, 25p

Hydrogen Enhancement in Syngas Through Biomass Steam Gasification: Assessment with Machine Learning Models.

Autori: Shi, Yunye Maya, Diego Mauricio Yepes Lora, Electo Silva a ďalší

Zdroj: Energies (19961073); Mar2025, Vol. 18 Issue 5, p1200, 19p

Predmety: SUPERVISED learning, ARTIFICIAL neural networks, ARTIFICIAL intelligence, SUPPORT vector machines, RANDOM forest algorithms, BIOMASS gasification

Improved fuzzy sparse multi-class least squares support vector machine.

Autori: Ju, Hongmei Yi, Huan

Zdroj: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 5, p7769-7783, 15p

Predmety: SUPPORT vector machines, LEAST squares, QUADRATIC programming, DATA distribution, CONVEX programming