321 search results - page 5 / 65 » Learning Bayesian Networks with Local Structure |
ICRA
2008
IEEE
15 years 4 months ago
2008
IEEE
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
137
click to vote
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
BIBM
2010
IEEE
14 years 1 months ago
2010
IEEE
IJCAI
2003
14 years 11 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
107
click to vote
ASC
2006
14 years 9 months ago
2006
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...