24 search results - page 4 / 5 » Structure learning and optimisation in a Markov-network base... |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
ECCV
2010
Springer
14 years 22 days ago
2010
Springer
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...