2914 search results - page 134 / 583 » Learning and Inference with Constraints |
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
EMNLP
2007
13 years 11 months ago
2007
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich...
CP
2005
Springer
14 years 3 months ago
2005
Springer
This paper presents a technique for learning parameterized implied constraints. They can be added to a model to improve the solving process. Experiments on implied Gcc constraints ...