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ICPR
2010
IEEE
15 years 8 months ago
Learning Probabilistic Models of Contours
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
Laure Amate, Maria João Rendas
NIPS
2008
15 years 7 months ago
Learning Taxonomies by Dependence Maximization
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
Matthew B. Blaschko, Arthur Gretton
NAACL
2007
15 years 7 months ago
Comparing User Simulation Models For Dialog Strategy Learning
This paper explores what kind of user simulation model is suitable for developing a training corpus for using Markov Decision Processes (MDPs) to automatically learn dialog strate...
Hua Ai, Joel R. Tetreault, Diane J. Litman
ESANN
2006
15 years 7 months ago
Extended model of conditioned learning within latent inhibition
Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a gen...
Nicolas Gomond, Jean Marc Salotti
EUSFLAT
2001
115views Fuzzy Logic» more  EUSFLAT 2001»
15 years 7 months ago
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions
When a whole knowledge base must be derived for a fuzzy rule-based system, learning methods usually address this task with two or more sequential stages by separately designing ea...
Jorge Casillas, Oscar Cordón, Francisco Her...