2252 search results - page 143 / 451 » A distributed machine learning framework |
119
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AE
2003
Springer
15 years 6 months ago
2003
Springer
ParaDisEO is a framework dedicated to the design of parallel and distributed metaheuristics including local search methods and evolutionary algorithms. This paper focuses on the la...
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
138
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ECML
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
127
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STACS
1999
Springer
15 years 7 months ago
1999
Springer
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
141
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HPDC
2006
IEEE
15 years 9 months ago
2006
IEEE
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...