1443 search results - page 86 / 289 » Learning Generative Models via Discriminative Approaches |
BMCBI
2006
13 years 9 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
COLING
2010
13 years 4 months ago
2010
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
EMNLP
2010
13 years 7 months ago
2010
Parser disambiguation with precision grammars generally takes place via statistical ranking of the parse yield of the grammar using a supervised parse selection model. In the stan...
COLT
2004
Springer
14 years 2 months ago
2004
Springer
Different formal learning models address different aspects of human learning. Below we compare Gold-style learning—interpreting learning as a limiting process in which the lear...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...