1096 search results - page 171 / 220 » Using Prior Knowledge: Problems and Solutions |
131
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SMC
2007
IEEE
15 years 9 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
132
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ICN
2005
Springer
15 years 8 months ago
2005
Springer
Data dissemination is a fundamental task in wireless sensor networks. Because of the radios range limitation and energy consumption constraints, sensor data is commonly disseminate...
137
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NIPS
1993
15 years 4 months ago
1993
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
224
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SIGMOD
2006
ACM
16 years 3 months ago
2006
ACM
The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, is a generalization of the...
160
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3DIM
2005
IEEE
15 years 5 months ago
2005
IEEE
Camera calibration methods, whether implicit or explicit, are a critical part of most 3D vision systems. These methods involve estimation of a model for the camera that produced t...