1414 search results - page 201 / 283 » Randomness and Universal Machines |
145
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
131
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
123
click to vote
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
124
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
156
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...