1599 search results - page 108 / 320 » Algorithms for Parity Games |
165
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AAI
2010
15 years 3 months ago
2010
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...
192
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TCIAIG
2010
15 years 1 months ago
2010
Monte-Carlo tree search has recently been very successful for game playing particularly for games where the evaluation of a state is difficult to compute, such as Go or General Gam...
164
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AAAI
2006
15 years 7 months ago
2006
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
183
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
Abstract--This paper considers the noncooperative maximization of mutual information in the vector Gaussian interference channel in a fully distributed fashion via game theory. Thi...
200
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ICC
2007
IEEE
16 years 23 days ago
2007
IEEE
Abstract— We describe a decentralized learning-based activation algorithm for a ZigBee-enabled unattended ground sensor network. Sensor nodes learn to monitor their environment i...