1325 search results - page 140 / 265 » Algorithm Selection using Reinforcement Learning |
142
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EMNLP
2008
15 years 4 months ago
2008
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
112
Voted
ITICSE
1997
ACM
15 years 6 months ago
1997
ACM
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
137
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CIMCA
2008
IEEE
15 years 9 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
112
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
111
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DCC
2006
IEEE
16 years 2 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...