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10907篇 您的检索式：期刊名="Machine Learning"

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	题名	作者	年代	出处	被引量
1	Induction of decision trees显示文摘	J. R. Quinlan	1986	Machine Learning1986，，1：	13
2	Support-Vector Networks显示文摘	Corinna Cortes Vladimir Vapnik	1995	Machine Learning1995，，3：	13
3	Random Forests显示文摘	Leo Breiman	2001	Machine Learning2001，，1：	13
4	Support-Vector Networks显示文摘	Corinna Cortes Vladimir Vapnik		Machine Learning0，，：	10
5	Bagging predictors显示文摘	Leo Breiman	1996	Machine Learning1996，，2：	6
6	Support Vector Data Description显示文摘	David M.J. Tax Robert P.W. Duin	2004	Machine Learning2004，，1：	4
7	Gene Selection for Cancer Classification using Support Vector Machines显示文摘	Isabelle Guyon Jason Weston Stephen Barnhill Vladimir Vapnik	2002	Machine Learning2002，，1：	4
8	Induction of decision trees显示文摘	J. R. Quinlan	1986	Machine Learning1986，，1：	3
9	Choosing Multiple Parameters for Support Vector Machines显示文摘	Olivier Chapelle Vladimir Vapnik Olivier Bousquet Sayan Mukherjee	2002	Machine Learning (-)2002，，1：	3
10	Unsupervised Learning by Probabilistic Latent Semantic Analysis显示文摘	Thomas Hofmann	2001	Machine Learning (-)2001，，1：	2
11	Letter recognition using Holland-style adaptive classifiers显示文摘	Frey P W Slate D J	1991	Machine Learning1991，6，2：	2
12	Benchmarking least squares support vector machine classifiers 显示文摘	Gestel T V Suykens J A K Baesens B	2004	Machine Learning2004，54，1：	2
13	Classifier chains for multi-label classification显示文摘	Jesse Read Bernhard Pfahringer Geoff Holmes Eibe Frank	2011	Machine Learning2011，，3：	2
14	Text Classification from Labeled and Unlabeled Documents using EM显示文摘	Kamal Nigam Andrew Kachites Mccallum Sebastian Thrun Tom Mitchell	2000	Machine Learning (-)2000，，2：	2
15	Benchmarking Least Squares Support Vector Machine Classifiers显示文摘	Tony van Gestel Johan A.K. Suykens Bart Baesens Stijn Viaene Jan Vanthienen Guido Dedene Bart de Moor Joos Vandewalle	2004	Machine Learning2004，，1：	2
16	Random Forests显示文摘	Leo Breiman		Machine Learning0，，：	2
17	The Strength of Weak Learnability显示文摘	Robert E. Schapire	1990	Machine Learning1990，，2：	2
18	Bayesian Network Classifiers显示文摘	Nir Friedman Dan Geiger Moises Goldszmidt	1997	Machine Learning (-)1997，，2：	2
19	Fast online Q(λ)显示文摘	Wiering M Schmidhuber J	1998	Machine Learning1998，33，1：	2
20	Learning to predict by the methods of temporal differences显示文摘	Richard S. Sutton	1988	Machine Learning1988，，1：	2

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