7868 search results - page 280 / 1574 » Learning by Answer Sets |
132
click to vote
ATAL
2007
Springer
16 years 22 days ago
2007
Springer
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
171
click to vote
ECML
2007
Springer
16 years 21 days ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
319
click to vote
Book
A set of lecture notes that introduces the reader to the object-orientation as a new programming concept. However, this is not a course for learning the C++ programming language.
205
click to vote
CVPR
2009
IEEE
16 years 1 months ago
2009
IEEE
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
178
click to vote
ILP
2004
Springer
15 years 12 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...