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JAIR
2007
127views more  JAIR 2007»
15 years 6 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
APIN
1998
98views more  APIN 1998»
15 years 6 months ago
A Fuzzy Diagnostic Model and Its Application in Automotive Engineering Diagnosis
This paper describes a fuzzy diagnostic model that contains a fast fuzzy rule generation algorithm and a priority rule based inference engine. The fuzzy diagnostic model has been i...
Yi Lu, Tie Qi Chen, Brennan Hamilton
GPEM
2000
80views more  GPEM 2000»
15 years 6 months ago
Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
Genetic programming, in conjunction with advanced analytical instruments, is a novel tool for the investigation of complex biological systems at the whole-tissue level. In this stu...
Helen E. Johnson, Richard J. Gilbert, Michael K. W...
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
15 years 6 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
CIVR
2007
Springer
16 years 15 days ago
Semantics reinforcement and fusion learning for multimedia streams
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
Dhiraj Joshi, Milind R. Naphade, Apostol Natsev