463 search results - page 66 / 93 » Localizing Search in Reinforcement Learning |
130
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
116
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ACL
2004
15 years 3 months ago
2004
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
112
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GECCO
2008
Springer
15 years 2 months ago
2008
Springer
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
119
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...