Search Results - kernel recursive least-squares(iris) algorithm~

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

Authors: De-Shuang Huang Wenbo Zhao Lin Guo

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

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

Authors: Anver, Jesna Abdulla, P.

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

Online sequential extreme learning machine with kernels

Authors: SCARDAPANE, SIMONE COMMINIELLO, DANILO SCARPINITI, MICHELE et al.

Contributors: SCARDAPANE, SIMONE COMMINIELLO, DANILO SCARPINITI, MICHELE et al.

Subject Terms: 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

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

Neurophysiological Approaches to Lie Detection: A Systematic Review.

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

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

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

QSAR Regression Models for Predicting HMG-CoA Reductase Inhibition.

Authors: Ancuceanu, Robert Popovici, Patriciu Constantin Drăgănescu, Doina et al.

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

Subject Terms: 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.

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

Machine learning applications in vadose zone hydrology: A review.

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

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

Subject Terms: 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)

Authors: 王秋莉 李　军

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

Subject Terms: 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.

Authors: Zhang, Xiaoya

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

Subject Terms: 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.

Authors: Lei, Yang Zhang, Minqing

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

Subject Terms: TIME complexity, FUZZY sets, TEST validity, ALGORITHMS, CLASSIFICATION

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

Authors: Kouti M Ansari-Asl K Namjoo E

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

Publication Type: Journal Article

Journal Info: 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

MeSH Terms: 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.

Authors: Shamsi, Mahdi Beheshti, Soosan

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

Kolmogorov GAM Networks Are All You Need!

Authors: Polson, Sarah Sokolov, Vadim

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

Subject Terms: MACHINE learning, ARTIFICIAL intelligence, TRANSFORMER models, KOLMOGOROV complexity, STATISTICS

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

Authors: Mohammadi, Tara Jabbari, Hadi Effati, Sohrab

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

Subject Terms: 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.

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

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

Subject Terms: 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.

Authors: Du, Ke-Lin Zhang, Rengong Jiang, Bingchun et al.

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

Subject Terms: 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.

Authors: Ni, Rui Chen, Hanning Liang, Xiaodan et al.

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

Subject Terms: 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.

Authors: Jennath, H. S. Asharaf, S.

Source: 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.

Authors: Shi, Yunye Maya, Diego Mauricio Yepes Lora, Electo Silva et al.

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

Subject Terms: 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.

Authors: Ju, Hongmei Yi, Huan

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

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