11910 search results - page 67 / 2382 » Online Learning Algorithms |
103
Voted
IPSN
2010
Springer
15 years 7 months ago
2010
Springer
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
123
Voted
EWRL
2008
15 years 2 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
105
Voted
PAMI
2007
15 years 3 days ago
2007
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
101
Voted
AAAI
1993
15 years 1 months ago
1993
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
92
Voted
CIDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...