11910 search results - page 109 / 2382 » Online Learning Algorithms |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
ATAL
2007
Springer
14 years 5 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
COLT
1995
Springer
14 years 2 months ago
1995
Springer
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...
STACS
2000
Springer
14 years 2 months ago
2000
Springer
The k-server problem is one of the most fundamental online problems. The problem is to schedule k mobile servers to visit a sequence of points in a metric space with minimum total...