Bias, Variance , And Arcing Classifiers
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[1] Lawrence D. Jackel,et al. Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.
[2] Yann LeCun,et al. Efficient Pattern Recognition Using a New Transformation Distance , 1992, NIPS.
[3] Leslie G. Valiant,et al. Cryptographic Limitations on Learning Boolean Formulae and Finite Automata , 1993, Machine Learning: From Theory to Applications.
[4] Trevor Hastie,et al. Handwritten Digit Recognition via Deformable Prototypes , 1994 .
[5] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[6] Thomas G. Dietterich,et al. Error-Correcting Output Coding Corrects Bias and Variance , 1995, ICML.
[7] Corinna Cortes,et al. Boosting Decision Trees , 1995, NIPS.
[8] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[9] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[10] Ron Kohavi,et al. Bias Plus Variance Decomposition for Zero-One Loss Functions , 1996, ICML.