598 search results - page 50 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
AIIA
2005
Springer
15 years 3 months ago
2005
Springer
Building profiles for processes and for interactive users is a important task in intrusion detection. This paper presents the results obtained with a Hierarchical Hidden Markov Mo...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...