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» Discriminative Learning of Max-Sum Classifiers
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GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
14 years 4 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
CEAS
2007
Springer
14 years 4 months ago
A Discriminative Classifier Learning Approach to Image Modeling and Spam Image Identification
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
Byungki Byun, Chin-Hui Lee, Steve Webb, Calton Pu
ICML
2001
IEEE
14 years 10 months ago
An Improved Predictive Accuracy Bound for Averaging Classifiers
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
John Langford, Matthias Seeger, Nimrod Megiddo
ICASSP
2011
IEEE
13 years 1 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke