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209篇 您的检索式：期刊名="Mach Learn"

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	题名	作者	年代	出处	被引量
1	Very simple classification rules perform well on most commonly used dataset显示文摘	HOLTE R C	1993	Mach Learn1993，11，：	2
2	A method to choose ker- nel function and its parameters for support vector ma- chines显示文摘	Liu H J Wang Y N Lu X F	2005	Mach Learning Cybernet2005，7，：	1
3	Non-negative Matrix Factorization with Sparseness Constraints 显示文摘	Hoyer P O	2004	J Mach Learn Res2004，5，：	1
4	Soft margins for adaboost显示文摘	Ratsch G Onoda T Muller K R	2001	Maching Learning2001，42，：	1
5	Convergence of a generalized SMO algorithm for SVM classifier design显示文摘	Keerthi S S Gilbert E G	2002	Mach Learn2002，46，：	1
6	Mining frequent closedrooted trees显示文摘	JoséL Balcázar Albert Bifet Antoni Lozano	2010	Mach Learn2010，78，：	1
7	Latent Dirichlet allocation 显示文摘	BLEI D M NG A Y JORDAN M I	2003	J Mach Learn Res2003，3，45：	1
8	Benefitting from the variables that variable selection discards显示文摘	Caruana R de Sa V R	2003	J Mach Learn Res2003，3，：	1
9	Learning to predict by the methods of temporal differences显示文摘	R S Sutton	1988	Mach Learn1988，3，：	1
10	Dynamic parameter encoding for genetic algorithms显示文摘	Nicol N S	1992	Maching Learning1992，9，1：	1
11	Support vector machine active learning with applications to text classification 显示文摘	Tong S Koller D	2002	J Mach Learn Res2002，，2：	1
12	Random forests 显示文摘	BREIMAN L	2001	Mach Learn2001，45，1：	1
13	Matching Words and Pictures 显示文摘	BARNARD K DUYGULU P FORSYTH D	2003	J Mach Learn Res2003，，3：	1
14	Dimensionality reduction via sparse support vector machines显示文摘	Bi J Bennett K Embrechts M Breneman C Song M	2003	J Mach Learn Res2003，，3：	1
15	Support-vector networks 显示文摘	Cortes C Vapnik V	1995	Mach Learn1995，20，3：	1
16	Universal kernels显示文摘	Micchelli C A Xu Yuesheng Zhang Haizhang	2006	J Mach Learn Res2006，7，：	1
17	Incremental Induction of Decision Trees 显示文摘	Utgoff P E	1989	Mach Learn1989，，4：	1
18	Kernel partial least squares regression in reproducing kernel hilbert space显示文摘	OSIPAL R TREJO J L	2002	J Mach Learn Res2002，，2：	1
19	Soft margins for adaboost显示文摘	RAETSCH G ONODA T MULLER K R	2001	Mach Learn2001，42，：	1
20	A Bayesian method for the induction of probabilistic networks from data 显示文摘	Cooper C Herskovits E	1992	Maching Learning1992，122，9：	1

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