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	题名	作者	年代	出处	被引量
1	Maximum entropy modeling of species geographic distributions显示文摘	Steven J. Phillips Robert P. Anderson Robert E. Schapire	2005	Ecological Modelling2005，，3：	2
2	The Strength of Weak Learnability显示文摘	Robert E. Schapire	1990	Machine Learning1990，，2：	2
3	A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting显示文摘	Yoav Freund Robert E Schapire	1997	Journal of Computer and System Sciences1997，，1：	2
4	A decision-theoretic generalization of on-line learning and application to boosting显示文摘	Freund Y Schapire R	1997	Journal of Computer and System Sciences1997，55，1：	1
5	A decision-theoretic generalization of on-line learning and an application to boosting 显示文摘	Freund Y Schapire R E	1997	Journal of Computer and System Sciences1997，55，1：	1
6	A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting显示文摘	Freund Y Schapire R E	1997	Journal of Computer and System Sciences1997，55，1：	1
7	A decision-theoretic generalization of on-line learning and an application to boosting显示文摘	Freund Y Schapire R E	1997	Journal of Computer and System Sciences1997，55，1：	1
8	Maximum entropy modeling of species geographic distributions显示文摘	Phillips S J Anderson R P Schapire R E	2006	Ecological Modelling2006，190，：	1
9	A Decision-theoretic Gen- eralization of On-line Learning and An Application to Boosting 显示文摘	Freund Y Schapire R E	1997	Journal of Computer and System Sciences1997，55，1：	1
10	Reducing multiclass to binary:a unifying approach for margin classifiers 显示文摘	Allwein E L Schapire R E Singer Y	2001	The Journal of Machine Learning Research2001，1，：	1
11	Large Margin Classification Using the Perceptron Algorithm显示文摘	Freund Y Schapire R E	1999	Machine Learning1999，37，3：	1
12	An efficient boosting algorithm for combining preferences显示文摘	Freund Y Iyer R Schapire R E	2003	Journal of Machine Learning Research2003，，4：	1
13	Improved boosting algorithms using confidence-rated predictions显示文摘	SCHAPIRE R E SINGER Y	1999	Machine Learning1999，37，3：	1
14	Improved boosting algorithms using confidence-rated predictions 显示文摘	Schapire R E Singer Y	1999	Machine Learning1999，37，3：	1
15	Improved Boosting Algorithms UsingConfidence-rated Predictions显示文摘	Schapire R E Singer Y	1999	Machine Learning1999，37，3：	1
16	A decision-theoretic generalization of on-line learning and an application to boosting 显示文摘	Freund Y Schapire RE	1997	Journal of Computer and System Sciences1997，55，1：	1
17	Boostexter:A boosting-based system for text categorization显示文摘	Schapire R E Singer Y	2000	Machine Learning2000，39，23：	1
18	A short introduction to boosting 显示文摘	FREUND Y SCHAPIRE R ABE N	1999	Journal of Japanese Society for Artificial Intelligence1999，14，5：	1
19	Boosting the margin: A new explanation for the effectiveness of voting methods 显示文摘	Schapire R E Freund Y Bartlett P	1998	The Annals of Statistics1998，26，5：	1
20	Improved Boosting algorithm using confidence-rated predictions显示文摘	Schapire R E Singer Y	1999	Machine Learning1999，37，3：	1

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