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ICML
1996
IEEE
16 years 8 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
ICIP
2008
IEEE
16 years 9 months ago
Complex discriminant features for object classification
A new algorithm for the design of complex features, to be used in the discriminant saliency approach to object classification, is presented. The algorithm consists of sequential r...
Sunhyoung Han, Nuno Vasconcelos
ICPR
2008
IEEE
16 years 1 months ago
Correspondences of point sets using Particle Filters
The paper shows how Particle Filters can be used to establish visually consistent partial correspondences between similar features in unrestricted 2D point sets representing shape...
Rolf Lakämper, Shusha Li, Marc Sobel
BMCBI
2010
150views more  BMCBI 2010»
15 years 7 months ago
Automatic structure classification of small proteins using random forest
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
Pooja Jain, Jonathan D. Hirst
ECML
2005
Springer
16 years 24 days ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont