777 search results - page 62 / 156 » Learning dynamic algorithm portfolios |
126
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
130
Voted
ICML
1996
IEEE
16 years 3 months ago
1996
IEEE
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
130
Voted
ATAL
2007
Springer
15 years 8 months ago
2007
Springer
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
203
Voted
COLT
2010
Springer
15 years 19 days ago
2010
Springer
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
142
Voted
CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...