8970 search results - page 338 / 1794 » Learning to Learn Causal Models |
147
click to vote
AAAI
2000
15 years 8 months ago
2000
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
193
click to vote
UAI
1996
15 years 8 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
208
click to vote
SIGIR
2008
ACM
15 years 6 months ago
2008
ACM
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
211
click to vote
IJCV
2011
15 years 1 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
174
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...