Maintaining Population Diversity By Minimizing Mutual Information
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[1] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[2] Xin Yao,et al. Towards Designing Neural Network Ensembles by Evolution , 1998, PPSN.
[3] Xin Yao,et al. Evolutionary ensembles with negative correlation learning , 2000, IEEE Trans. Evol. Comput..
[4] Xin Yao,et al. Evolving a cooperative population of neural networks by minimizing mutual information , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[5] Robert L. Winkler,et al. Limits for the Precision and Value of Information from Dependent Sources , 1985, Oper. Res..
[6] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[7] Jerome H. Friedman,et al. An Overview of Predictive Learning and Function Approximation , 1994 .
[8] Robert G. Reynolds,et al. Evolutionary computation: Towards a new philosophy of machine intelligence , 1997 .
[9] X. Yao,et al. How to Make Best Use of Evolutionary Learning , 1996 .
[10] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[11] Robert A. Jacobs,et al. Bias/Variance Analyses of Mixtures-of-Experts Architectures , 1997, Neural Computation.
[12] Xin Yao,et al. Simultaneous training of negatively correlated neural networks in an ensemble , 1999, IEEE Trans. Syst. Man Cybern. Part B.