843 search results - page 15 / 169 » Learning aspect models with partially labeled data |
AI
2008
Springer
13 years 7 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
ICGI
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
AAAI
2008
13 years 9 months ago
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...