220 search results - page 35 / 44 » Learning probabilistic decision graphs |
NIPS
2004
13 years 8 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
ECCV
2010
Springer
14 years 7 hour ago
2010
Springer
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as g...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
— This paper describes the winning entry to the IJCNN 2011 Social Network Challenge run by Kaggle.com. The goal of the contest was to promote research on realworld link predictio...
AAAI
2011
12 years 7 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...