966 search results - page 39 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
UAI
2004
15 years 1 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...
127
click to vote
ICONFERENCE
2011
14 years 6 months ago
2011
To develop a science of small-group interaction in groupware, we need a method for analyzing the structure of computer-mediated discourse. Conversation analysis offers an analysis...
AAMAS
2007
Springer
14 years 12 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
105
click to vote
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...