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ICML
2001
IEEE
16 years 15 days 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
ICML
2008
IEEE
16 years 15 days ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
ICML
2006
IEEE
16 years 15 days ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...
GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
15 years 3 months ago
A Multi-Adaptive Agent Model of Generator Bidding in the UK Market in Electricity
ected Abstracts for the First International Workshop on Learning Classifier System (IWLCS92), 1992. October 6
Anthony J. Bagnall
ICML
2009
IEEE
16 years 15 days ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...