99 search results - page 5 / 20 » Learning Taxonomies by Dependence Maximization |
86
Voted
NECO
2007
14 years 9 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
105
Voted
AI
2006
Springer
14 years 10 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
86
Voted
CVPR
2006
IEEE
16 years 8 days ago
2006
IEEE
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...
90
Voted
ML
2000
ACM
14 years 10 months ago
2000
ACM
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
71
Voted
JCAL
2000
14 years 10 months ago
2000
This study examined the gender differences in the preferences to varying designs of multimedia learning interfaces. In the study it was assumed that design characteristics add to t...