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22篇 您的检索式：期刊名="Journal of Machine LearningResearch"

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	题名	作者	年代	出处	被引量
1	On-demand transmission power control for wireless sensor networks显示文摘	Junseok Kim Sookhyeon Chang Younggoo Kwon	2006	Journal of Machine LearningResearch2006，，7：	1
2	Core vector machines:Fast SVMtraining on very large data sets 显示文摘	Tsang I Kwok J Cheung P	2005	Journal of Machine LearningResearch2005，6，：	1
3	Nash Q-learning for General-sumStochastic Games显示文摘	Hu Junling Wellman M P	2003	The Journal of Machine LearningResearch2003，4，：	1
4	Cluster ensembles-a knowledge reuse frameworkfor combining multiple partitions显示文摘	Strehl A Ghosh J	2003	The Journal of Machine LearningResearch2003，，：	1
5	On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines显示文摘	Crammer Singer Y	2001	Journal of Machine LearningResearch2001，2，3：	1
6	Think globally, fit locally: unsupervised learning of low dimensional manifolds 显示文摘	Saul L K Roweis S T	2003	Journal of Machine LearningResearch(S1532-4435)2003，4，2：	1
7	Efficient Feature Selection via Analysis ofRelevance and Redundancy显示文摘	Lei Yu Huang Liu	2004	Journal of Machine LearningResearch2004，5，5：	1
8	Semi-supervised local Fisherdiscriminant analysis for dimensionality reduction显示文摘	SUGIYAMA M	2010	Journal of Machine LearningResearch2010，78，：	1
9	Fast binary feature selection with conditional mutual information显示文摘	Fleuret F	2004	The Journal of Machine LearningResearch2004，5，：	1
10	A Least-squares Approach to DirectImportance Estimation 显示文摘	Takafumi K Shohei H	2009	Journal of Machine LearningResearch2009，10，12：	1
11	Trust region Newton method forlarge-scale logistic regression显示文摘	Lin C J Ruby C W Keerthi S	2008	Journal of machine learningresearch2008，9，10：	1
12	Think globally,fit locally:unsupervised learning of nonlinear manifolds显示文摘	Saul L K Roweis S T	2003	Journal of Machine LearningResearch2003，，4：	1
13	The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces显示文摘	Klaus-Robert Müller	2002	Journal of Machine LearningResearch2002，11，2：	1
14	Efficient Feature Selection via Analysis ofRelevance and Redundancy显示文摘	Yu Lei Liu Huan	2004	Journal of Machine LearningResearch2004，5，12：	1
15	R-MAX:A general polynomial time algorithm for near-optimal reinforcement learning显示文摘	Brafman I Tennenholtz M	2002	Journal of Machine LearningResearch2002，3，：	1
16	Lanrangian Support vector Machines显示文摘	MANGASARIAN DAVIDRMUSICANT	2001	Journal of Machine LearningResearch2001，18，14：	1
17	Uniform object generation for optimizingone-class classifiers 显示文摘	Tax D and Duin R	2001	The Journal of Machine LearningResearch2001，2，1：	1
18	Stacked denoisingautoencoders: learning useful representations in a deep networkwith a local denoising criterion 显示文摘	VINCENT P LAROCHELLE H LAJOIE I	2010	The Journal of Machine LearningResearch2010，11，33：	1
19	Efficient Feature Selection via Analysis of Rel-evance and Redundancy 显示文摘	Yu L Liu H	2004	Journal of Machine LearningResearch2004，5，：	1
20	Lagrangian support vector machines显示文摘	MANGASARIAN O L and MUSICANT D R	2001	The Journal of Machine LearningResearch2001，1，3：	1

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