127 search results - page 6 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
HIS
2008
13 years 11 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
UPP
2004
Springer
14 years 3 months ago
2004
Springer
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
BMCBI
2008
13 years 10 months ago
2008
Background: Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using...