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» Algorithm Selection using Reinforcement Learning
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IJCAI
1997
15 years 3 months ago
Law Discovery using Neural Networks
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Kazumi Saito, Ryohei Nakano
117
Voted
IJCAI
2007
15 years 3 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
119
Voted
IPMI
2007
Springer
15 years 8 months ago
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur...
149
Voted
ML
2000
ACM
154views Machine Learning» more  ML 2000»
15 years 1 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
120
Voted
IJVR
2008
111views more  IJVR 2008»
15 years 2 months ago
Improve a Game Board based on Cultural Algorithms
Evolutionary computation is a generic term used to make reference to the solution of computational problems planned and implemented based on models of an evolutionary process. Most...
Alberto Ochoa, Alejandro Padilla, Saúl Gonz...