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215
Voted
Publication
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
107
Voted
AI
2002
Springer
15 years 11 days ago
2002
Springer
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
102
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ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
109
Voted
INFOCOM
2010
IEEE
14 years 11 months ago
2010
IEEE
Abstract—The problem of cooperative allocation among multiple secondary users to maximize cognitive system throughput is considered. The channel availability statistics are initi...
ICML
2009
IEEE
15 years 7 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...