IEICE Trans

Keyword : model selection

A Fast Cross-Validation Algorithm for Kernel Ridge Regression by Eigenvalue Decomposition Akira TANAKA Hideyuki IMAI
Publication: Publication Date: 2019/09/01 Vol. E102-A No. 9 ; pp. 1317-1320 Type of Manuscript: LETTER Category: Numerical Analysis and Optimization Keyword: kernel ridge regression, model selection, hyperparameter, cross-validation,
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Online Speaker Clustering Using Incremental Learning of an Ergodic Hidden Markov Model Takafumi KOSHINAKA Kentaro NAGATOMO Koichi SHINODA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2012/10/01 Vol. E95-D No. 10 ; pp. 2469-2478 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: HMM, model selection, meeting recognition, variational Bayesian learning,
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Nonparametric Regression Method Based on Orthogonalization and Thresholding Katsuyuki HAGIWARA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2011/08/01 Vol. E94-D No. 8 ; pp. 1610-1619 Type of Manuscript: PAPER Category: Artificial Intelligence, Data Mining Keyword: nonparametric regression, orthogonalization, hard thresholding, model selection,
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Optimal Gaussian Kernel Parameter Selection for SVM Classifier Xu YANG HuiLin XIONG Xin YANG
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2010/12/01 Vol. E93-D No. 12 ; pp. 3352-3358 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: kernel optimization, model selection, kernel parameter selection, support vector machines, pattern recognition,
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Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion Shun GOKITA Masashi SUGIYAMA Keisuke SAKURAI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2007/11/01 Vol. E90-A No. 11 ; pp. 2584-2592 Type of Manuscript: PAPER Category: Neural Networks and Bioengineering Keyword: supervised learning, generalization error, model selection, regularized subspace information criterion,
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A New Meta-Criterion for Regularized Subspace Information Criterion Yasushi HIDAKA Masashi SUGIYAMA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2007/11/01 Vol. E90-D No. 11 ; pp. 1779-1786 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: supervised learning, generalization capability, model selection, unbiased estimator, regularized subspace information criterion,
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Generalization Error Estimation for Non-linear Learning Methods Masashi SUGIYAMA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2007/07/01 Vol. E90-A No. 7 ; pp. 1496-1499 Type of Manuscript: LETTER Category: Neural Networks and Bioengineering Keyword: supervised learning, generalization capability, model selection, subspace information criterion, non-linear learning,
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Incremental Leaning and Model Selection for Radial Basis Function Network through Sleep Koichiro YAMAUCHI Jiro HAYAMI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2007/04/01 Vol. E90-D No. 4 ; pp. 722-735 Type of Manuscript: PAPER Category: Algorithm Theory Keyword: incremental learning, sleep learning, model selection, RBF,
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Analytic Optimization of Shrinkage Parameters Based on Regularized Subspace Information Criterion Masashi SUGIYAMA Keisuke SAKURAI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2006/08/01 Vol. E89-A No. 8 ; pp. 2216-2225 Type of Manuscript: PAPER Category: Neural Networks and Bioengineering Keyword: supervised learning, generalization capability, model selection, shrinkage estimator, regularized subspace information criterion,
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Active Learning with Model Selection -- Simultaneous Optimization of Sample Points and Models for Trigonometric Polynomial Models Masashi SUGIYAMA Hidemitsu OGAWA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2003/12/01 Vol. E86-D No. 12 ; pp. 2753-2763 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: supervised learning, generalization capability, active learning, model selection, trigonometric polynomial space,
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Subspace Information Criterion for Image Restoration--Optimizing Parameters in Linear Filters Masashi SUGIYAMA Daisuke IMAIZUMI Hidemitsu OGAWA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2001/09/01 Vol. E84-D No. 9 ; pp. 1249-1256 Type of Manuscript: PAPER Category: Image Processing, Image Pattern Recognition Keyword: image restoration, mean squared error, subspace information criterion, moving-average filter, model selection,
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Moving Object Detection from Optical Flow without Empirical Thresholds Naoya OHTA Kenichi KANATANI Kazuhiro KIMURA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 1998/02/25 Vol. E81-D No. 2 ; pp. 243-245 Type of Manuscript: LETTER Category: Image Processing,Computer Graphics and Pattern Recognition Keyword: geometric AIC, model selection, optical flow, moving object detection, statistical inference,
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Infinity and Planarity Test for Stereo Vision Yasushi KANAZAWA Kenichi KANATANI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 1997/08/25 Vol. E80-D No. 8 ; pp. 774-779 Type of Manuscript: PAPER Category: Image Processing,Computer Graphics and Pattern Recognition Keyword: AIC, testing of hypotheses, model selection, stereo vision, infinity test, planarity test,
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Evaluations for Estimation of an Information Source Based on State Decomposition Joe SUZUKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1993/07/25 Vol. E76-A No. 7 ; pp. 1240-1251 Type of Manuscript: PAPER Category: Information Theory and Coding Theory Keyword: model selection, error probability, Kullback-Leibler information, separated models, unseparated models, information source, information criterion, state decomposition,
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