791 search results - page 19 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
GECCO
2010
Springer
14 years 1 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...
PAMI
2010
13 years 7 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
CEC
2009
IEEE
14 years 1 months ago
2009
IEEE
—The paper is focused on the problem of aggregation of probability distribution applicable for parallel Bivariate Marginal Distribution Algorithm (pBMDA). A new approach based on...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
TFS
2011
13 years 3 months ago
2011
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...