Found 84 Documents (Results 1–84)
Bridging algorithmic information theory and machine learning: a new approach to kernel learning. (English) Zbl 07868581
Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies. (English) Zbl 07832671
MSC:
62Pxx
Conditional mean embedding and optimal feature selection via positive definite kernels. (English) Zbl 07770138
Basics of SVM method and least squares SVM. (English) Zbl 07914317
Rad, Jamal Amani (ed.) et al., Learning with fractional orthogonal kernel classifiers in support vector machines. Theory, algorithms and applications. Singapore: Springer. Ind. Appl. Math., 19-36 (2023).
The variational method of moments. (English) Zbl 07913969
MSC:
62-XX
Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint. (English) Zbl 07858653
MSC:
62-XX
On the variable bandwidth kernel estimation of conditional \(U\)-statistics at optimal rates in sup-norm. (English) Zbl 07723542
Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization. (English) Zbl 1524.65050
Machine learning. The basics. (English) Zbl 1530.68002
Machine Learning: Foundations, Methodologies, and Applications. Singapore: Springer (ISBN 978-981-16-8192-9/hbk; 978-981-16-8195-0/pbk; 978-981-16-8193-6/ebook). xvii, 212 p. (2022).
Reviewer: Irina Ioana Mohorianu (Oxford)
Kernel machine and distributed lag models for assessing windows of susceptibility to environmental mixtures in children’s health studies. (English) Zbl 1498.62269
Deep regularization and direct training of the inner layers of neural networks with kernel flows. (English) Zbl 1515.68273
A mixed-effects least square support vector regression model for three-level count data. (English) Zbl 07193868
MSC:
62-XX
Rethinking statistical learning theory: learning using statistical invariants. (English) Zbl 1480.62064
Prediction of high-dimensional time series with exogenous variables using generalized Koopman operator framework in reproducing kernel Hilbert space. (English) Zbl 1414.62366
Rojas, Ignacio (ed.) et al., Time series analysis and forecasting. Selected contributions from the international work-conference on time series, ITISE 2017, Granada, Spain, September 18–20, 107. Cham: Springer. Contrib. Stat., 65-77 (2018).
Semiparametric kernel-based regression for evaluating interaction between pathway effect and covariate. (English) Zbl 1391.62270
Machine learning for text. (English) Zbl 1395.68001
Cham: Springer (ISBN 978-3-319-73530-6/hbk; 978-3-319-73531-3/ebook). xxiii, 493 p. (2018).
Reviewer: Irina Ioana Mohorianu (Oxford)
Neural networks and deep learning. A textbook. (English) Zbl 1402.68001
Cham: Springer (ISBN 978-3-319-94462-3/hbk; 978-3-319-94463-0/ebook). xxiii, 497 p. (2018).
Reviewer: Irina Ioana Mohorianu (Oxford)
Bayesian kernel machine models for testing genetic pathway effects in prostate cancer prognosis. (English) Zbl 07260722
Practical Bayesian support vector regression for financial time series prediction and market condition change detection. (English) Zbl 1406.62120
Time-accuracy tradeoffs in kernel prediction: controlling prediction quality. (English) Zbl 1437.62146
Extreme logistic regression. (English) Zbl 1414.62260
Kernel machine testing for risk prediction with stratified case cohort studies. (English) Zbl 1419.62422
Sufficient dimension reduction via principal L\(q\) support vector machine. (English) Zbl 1419.62080
A pruning method of refining recursive reduced least squares support vector regression. (English) Zbl 1360.68729
The Gaussian Radon transform and machine learning. (English) Zbl 1338.44004
Reviewer: Boris Rubin (Baton Rouge)
An efficient multiple kernel learning in reproducing kernel Hilbert spaces (RKHS). (English) Zbl 1329.68225
A wind speed forecasting model based on support vector regression with data dependent kernel. (Chinese. English summary) Zbl 1324.68117
MSC:
68T05
Kernel methods and machine learning. (English) Zbl 1317.68005
Cambridge: Cambridge University Press (ISBN 978-1-107-02496-0/hbk; 978-1-139-17622-4/ebook). xxiv, 591 p. £ 55.00 (2014).
Reviewer: Jerzy W. Grzymala-Busse (Lawrence)
Improvement of multiple kernel learning using adaptively weighted regularization. (English) Zbl 1414.62138
Support vector machine quantile regression approach for functional data: simulation and application studies. (English) Zbl 1328.62239
A study on SMO algorithm for solving \(\varepsilon\)-SVR with non-PSD kernels. (English) Zbl 1264.93276
MSC:
93E25
90C15
Statistical properties on semiparametric regression for evaluating pathway effects. (English) Zbl 1428.62157
Support vector machines. Optimization based theory, algorithms, and extensions. (English) Zbl 1278.68011
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Boca Raton, FL: CRC Press (ISBN 978-1-4398-5792-2/hbk). xxvii, 335 p. (2013).
Reviewer: Ding-Xuan Zhou (Hong Kong)
A kernel Fisher discriminant analysis order regression machine multi-class classification modeling method based on time point partition. (Chinese. English summary) Zbl 1289.68110
Learning partial ordinal class memberships with kernel-based proportional odds models. (English) Zbl 1243.62096
Asymptotic normality of support vector machine variants and other regularized kernel methods. (English) Zbl 1352.62056
Semi-supervised learning with the help of Parzen windows. (English) Zbl 1237.68107
Reviewer: Ding-Xuan Zhou (Hong Kong)
Robust anti-synchronization of uncertain chaotic systems based on multiple-kernel least squares support vector machine modeling. (English) Zbl 1268.93048
A new weighted support vector regression machine. (Chinese. English summary) Zbl 1265.68151
MSC:
68T05
Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines. (English) Zbl 1274.62834
MSC:
62P10
Supervised learning algorithms for multi-class classification problems with partial class memberships. (English) Zbl 1241.68094
MSC:
68T05
Reproducing kernel Banach spaces with the \(\ell^{1}\) norm. II: Error analysis for regularized least square regression. (English) Zbl 1231.68219
Stochastic expansions using continuous dictionaries: Lévy adaptive regression kernels. (English) Zbl 1227.62030
Weak consistency of the support vector machine quantile regression approach when covariates are functions. (English) Zbl 1225.62050
An algorithm for unconstrained quadratically penalized convex optimization. (English) Zbl 1219.62067
Multi-scale support vector algorithms for hot spot detection and modelling. (English) Zbl 1407.62346
A novel regression algorithm of reduced multi-resolution relevance vector machines. (Chinese. English summary) Zbl 1174.68484
Generalization performance of multi-category kernel machines – in memory of professor Sun Yongsheng. (English) Zbl 1141.68557
Significant vector learning to construct sparse kernel regression models. (English) Zbl 1125.68094
MSC:
68T05
Computation of the regression kernel matrix using semidefinite programming. (English. Russian summary) Zbl 1212.90295
Robust kernel-based regression. (English) Zbl 1185.93048
MSC:
93B51
Gaussian processes for machine learning. (English) Zbl 1177.68165
Cambridge, MA: MIT Press (ISBN 978-0-262-18253-9/hbk). xvii, 248 p. (2006).
On robustness properties of convex risk minimization methods for pattern recognition. (English) Zbl 1222.68348
On properties of support vector machines for pattern recognition in finite samples. (English) Zbl 1091.65008
Hubert, Mia (ed.) et al., Theory and applications of recent robust methods. Selected papers of the international conference on robust statistics 2003, ICORS 2003, Antwerp, Belgium, July 13–18, 2003. Basel: Birkhäuser (ISBN 3-7643-7060-2/hbk). Statistics for Industry and Technology, 49-58 (2004).
Experimentally optimal \(\nu\) in support vector regression for different noise models and parameter settings. (English) Zbl 1072.68541
MSC:
68T05
Optimal selection of the regression kernel matrix with semidefinite programming. (English) Zbl 1063.62105
Floudas, Christodoulos A. (ed.) et al., Frontiers in global optimization. Boston, MA: Kluwer Academic Publishers (ISBN 1-4020-7699-1/hbk). Nonconvex Optim. Appl. 74, 575-584 (2004).
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