56 search results - page 11 / 12 » Semi-supervised Learning by Entropy Minimization |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
PRICAI
2000
Springer
13 years 9 months ago
2000
Springer
Autonomous state generalization problem is a key issue in the research field of behavior learning of reactive agents, and many approaches have been proposed in recent years. Howeve...
NIPS
1998
13 years 6 months ago
1998
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
UAI
2003
13 years 6 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...