449 search results - page 49 / 90 » Finding Structure in Reinforcement Learning |
119
Voted
ICANN
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
140
Voted
CORR
2012
Springer
13 years 11 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
133
Voted
AGENTS
2000
Springer
15 years 8 months ago
2000
Springer
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
150
Voted
ACL
2010
15 years 1 months ago
2010
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
153
Voted
ESANN
2004
15 years 5 months ago
2004
This work is designed to contribute to a deeper understanding of the recently proposed Merging SOM (MSOM). Its context model aims at the representation of sequences, an important s...