4660 search results - page 240 / 932 » Learning from imperfect data |
126
click to vote
RSCTC
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
178
click to vote
ECML
1994
Springer
15 years 9 months ago
1994
Springer
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...
125
click to vote
APN
2010
Springer
15 years 9 months ago
2010
Springer
Decision diagrams (DDs) have made their way into Petri net (PN) tools either in the form of new tools (usually designed from scratch to use DDs) or as enhancements to existing tool...
129
click to vote
FOCS
1999
IEEE
15 years 9 months ago
1999
IEEE
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
142
click to vote
NIPS
2000
15 years 6 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...