127 search results - page 6 / 26 » Bayesian Evolutionary Optimization Using Helmholtz Machines |
76
Voted
ICML
2009
IEEE
15 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
14 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 ...
163
click to vote
UPP
2004
Springer
15 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...
106
click to vote
ICML
2004
IEEE
15 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...
106
click to vote
BMCBI
2008
14 years 9 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...