1474 search results - page 25 / 295 » Using Machine Learning to Focus Iterative Optimization |
109
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CF
2007
ACM
15 years 6 months ago
2007
ACM
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
127
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AMAI
1999
Springer
15 years 2 months ago
1999
Springer
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
115
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ISBI
2009
IEEE
15 years 9 months ago
2009
IEEE
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this pa...
135
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ATAL
2006
Springer
15 years 6 months ago
2006
Springer
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
130
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NIPS
2008
15 years 3 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...