2252 search results - page 197 / 451 » A distributed machine learning framework |
107
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ADMA
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
140
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UAI
2004
15 years 4 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
115
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ECOOPW
1999
Springer
15 years 7 months ago
1999
Springer
Although a considerable number of successful frameworks have been developed during the last decade, designing a high-quality framework is still a difficult task. Generally, it is ...
123
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ISLPED
2003
ACM
15 years 8 months ago
2003
ACM
Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. However, environmental energy will typically no...
109
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...