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33篇 您的检索式：作者名="SOLLICH P"

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	题名	作者	年代	出处	被引量
1	Minimum entropy queries for linear students learning nonlinear rules显示文摘		1995	On Artificial Neural Networks1995，，：	1
2	Model selection for support vector machine classification 显示文摘	GOLD C SOLLICH P	2003	Neurocomputing2003，55，12：	1
3	Learning with ensembles:how over-fitting csn be useful显示文摘	Sollich P Krogh A	1996	Aduances in Neural infoumation Processing Systems1996，，8：	1
4	Bayesian methods for support vector machines: Evidence and predictive class probabilities显示文摘	SOLLICH P	2002	Machine Learning2002，46，：	1
5	Model selection for support vector machine classification显示文摘	Gold C Sollich P	2003	Neuroeomputing2003，55，12：	1
6	Learning curves for Gaussian process regression: approximations and bounds显示文摘	SOLLICH P HALEES A	2002	Neural Computation2002，14，5：	1
7	Model selection for support vector ma- chine classification 显示文摘	Gold C Sollich P	2003	Neurocomputing2003，55，12：	1
8	Model selection for support vector ma- chine classification 显示文摘	Gold C Sollich P	2003	Neurocomputing2003，55，12：	1
9	Bayesian methods for support vector machines: Evi?dence and predictive class probabilities 显示文摘	Sollich P	2002	Machine Learning2002，46，13：	1
10	Model selection for support vector machine classification显示文摘	Gold C Sollich P	2003	Neurocornputing2003，55，1：	1
11	Classification of seismic signals by integrating ensembles of neural networks显示文摘	SOLLICH P INTRATOR N	1998	IEEE Transactions Signal Processing1998，46，5：	1
12	Model selection for support vector machine classification 显示文摘	Gold C Sollich P	2003	Neurocomputing2003，55，12：	1
13	Learning with ensembles:How overfitting can be useful显示文摘	Sollich P Krogh A		In:Advances in Neural Information Procl Systems 81 MA:MIT Press0，1996，1：	1
14	Model selection for support vector machine classification显示文摘	GOLD C SOLLICH P	2003	Neurocomputing2003，55，12：	1
15	Bayesian methods for support vector machines: Evidence and predictive class probabilities 显示文摘	Sollich P	2002	Machine Learning2002，46，13：	1
16	Simplified onsager theory for isotropic-nematic phase equilibria of length polydisperse hard rod显示文摘	Speranza A Sollich P	2002	J Chem Phys2002，117，：	1
17	Bayesian Methods for Support Vector Machines:Evidence and Predictive Class Probabilities显示文摘	Sollich P	2002	Machine Learning2002，46，：	1
18	Bayesian methods for support vector machines: Evidence and predictive class probabilities 显示文摘	SOLLICH P	2002	Machine Learning2002，46，13：	1
19	Model selection for support vector machine classification显示文摘	Gild C Sollich P	2003	Neurocomputing2003，，55：	1
20	Classification of seismic signals by integrating ensembles of neural networks显示文摘	SOLLICH P INTRATOR N	1998	IEEE Transactions Signal Processing1998，46，5：	1

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