1474 search results - page 11 / 295 » Using Machine Learning to Focus Iterative Optimization |
98
Voted
PVM
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
126
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
147
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ML
2008
ACM
15 years 2 months ago
2008
ACM
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
106
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GFKL
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
133
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...