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58篇 您的检索式：期刊名="Machine Learing"

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	题名	作者	年代	出处	被引量
1	Soft Margins for AdaBoost显示文摘	Ratsch G Ouoda T Muer K	2001	Machine Learing2001，42，3：	1
2	An introduction to variable and feature selection显示文摘	Isabelle Gyuon André Elisseeff	2003	Journal of Machine Learing Research2003，，：	1
3	Assessing Approximate Inference for Bi- nary Gaussian Process Classification显示文摘	Kuss M Rasmussen C E	2005	Journal of Machine Lear ning Research2005，6，：	1
4	A Lattice Conceptual Clustering System andlt's Application to Browsing Retrieval 显示文摘	Carpineto C Romano G	1996	Machine Learing1996，24，：	1
5	Induction of decision tree显示文摘	Quinlan J R	1986	Machine Learing1986，，1：	1
6	A novel watermarking for images using neural netword显示文摘	ZHANG J WANG N C XIONG F	2002	International Conference on Machine Learing and Cybernetics2002，4，3：	1
7	The strength of weak learn ability显示文摘	Schapire R E	1990	Machine Learing1990，5，2：	1
8	In duction of decision trees显示文摘	J R Quinlan	1986	Machine Learing1986，，：	1
9	Induction of decision tree显示文摘	Quinlan J R	1986	Machine Learing1986，，1：	1
10	Induction of decision tree显示文摘		1986	Machine Learing1986，1，1：	1
11	Bagging predietors显示文摘	Breiman L	1996	Machine Learing1996，24，2：	1
12	Robust reductions from rankingto classification显示文摘	Balcan M F Bansal N Beygelzimer A	2008	Machine Learing2008，72，12：	1
13	Very Simple Classification Rules Performs Well on Most Commonly Used Datasets显示文摘	Holte R C	1993	Machine Learing1993，1，：	1
14	Unsupervised Learning by Probabillistic Latent Semantic analysis显示文摘	Hofmann T	2001	Machine Learing2001，42，1：	1
15	Induction of Decision Tree显示文摘	Quinlan J R	1986	Machine Learing1986，1，1：	1
16	A Lattice Conceptual Clustering System and It's Application to Browsing Retrieval显示文摘	Carpineto C Romano G	1996	Machine Learing1996，24，2：	1
17	Support-vector networks显示文摘	CORINNA C VLADIMIR V	1995	Machine Learing1995，20，3：	1
18	A Formalism for Relevance and Its Application in Feature Subset Selection 显示文摘	Bell D A Wang H	2004	Machine Learing2004，41，2：	1
19	Choosing multiple parameters for support vector math -ines显示文摘	Chappelle O Vapnik V Bousquet O	2002	Machine Learing2002，46，1：	1
20	Unsupervised learning byprobabilistic latent semantic analysis显示文摘	Hofmann T	2001	Machine Learing2001，，42：	1

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