5109 search results - page 80 / 1022 » On Learning Limiting Programs |
84
Voted
ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
82
Voted
GECCO
2004
Springer
15 years 6 months ago
2004
Springer
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
89
Voted
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract-- In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator syst...
102
Voted
ECAI
2004
Springer
15 years 4 months ago
2004
Springer
Abstract. In previous research, we presented a dynamicprogramming-based EM (expectation-maximization) algorithm for parameterized logic programs, which is based on the structure sh...
102
Voted
AAAI
2006
15 years 2 months ago
2006
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...