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WAIM
2010
Springer
14 years 3 months ago
Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...
ICANN
2009
Springer
14 years 2 months ago
Learning from Examples to Generalize over Pose and Illumination
We present a neural system that recognizes faces under strong variations in pose and illumination. The generalization is learnt completely on the basis of examples of a subset of p...
Marco K. Müller, Rolf P. Würtz
JAIR
2006
106views more  JAIR 2006»
13 years 10 months ago
Clause/Term Resolution and Learning in the Evaluation of Quantified Boolean Formulas
Resolution is the rule of inference at the basis of most procedures for automated reasoning. In these procedures, the input formula is first translated into an equisatisfiable for...
Enrico Giunchiglia, Massimo Narizzano, Armando Tac...
DA
2010
123views more  DA 2010»
13 years 6 months ago
Paradoxes in Learning and the Marginal Value of Information
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
Peter Frazier, Warren B. Powell
AUSAI
2008
Springer
13 years 12 months ago
Clustering with XCS on Complex Structure Dataset
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang