2252 search results - page 126 / 451 » A distributed machine learning framework |
136
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ECOOPW
1999
Springer
15 years 7 months ago
1999
Springer
Programmers are like most other humans - they prefer to act rather than read. In the context of application frameworks, this means that a programmer is more inclined to “try it ...
109
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ALT
1998
Springer
15 years 7 months ago
1998
Springer
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...
137
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PVM
2005
Springer
15 years 8 months ago
2005
Springer
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
125
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
133
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...