2252 search results - page 127 / 451 » A distributed machine learning framework |
133
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
112
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
133
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
130
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COLT
1994
Springer
15 years 7 months ago
1994
Springer
In this paper we introduce and investigate a mathematically rigorous theory of learning curves that is based on ideas from statistical mechanics. The advantage of our theory over ...
124
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WMTE
2005
IEEE
15 years 8 months ago
2005
IEEE
Individual, unaided human abilities are constrained. Media have helped us to transcend boundaries in thinking, working, learning, and collaborating by supporting distributed intel...