2914 search results - page 30 / 583 » Learning and Inference with Constraints |
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
ACL
2011
12 years 11 months ago
2011
Topic models have been used extensively as a tool for corpus exploration, and a cottage industry has developed to tweak topic models to better encode human intuitions or to better...
ACL
2007
13 years 9 months ago
2007
Over the last few years, two of the main research directions in machine learning of natural language processing have been the study of semi-supervised learning algorithms as a way...
CICLING
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on logical representatio...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We present a novel framework for recognizing repetitive
sequential events performed by human actors with strong
temporal dependencies and potential parallel overlap. Our
solutio...