2914 search results - page 27 / 583 » Learning and Inference with Constraints |
ADAC
2007
13 years 7 months ago
2007
In this paper, we discuss generalized mixture models and related semi-supervised learning methods, and show how they can be used to provide explicit methods for unknown class infer...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
EMNLP
2011
12 years 7 months ago
2011
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
ICDCS
2006
IEEE
14 years 1 months ago
2006
IEEE
We model the overlay using linear capacity constraints, which accurately and succinctly capture overlay link correlations. We show that finding a maximum-bandwidth multicast tree...