1413 search results - page 24 / 283 » A Theory for Memory-Based Learning |
ICML
1999
IEEE
16 years 16 days ago
1999
IEEE
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
IJCAI
1989
15 years 27 days ago
1989
In this paper, we address an issue that arises when the background knowledge used by explanationbased learning is incorrect. In particular, we consider the problems that can be ca...
114
Voted
CRIWG
2007
15 years 1 months ago
2007
Two of the most important research subjects during the development of intelligent authoring systems (IAS) for education are the modeling of knowledge and the extraction of knowledg...
TARK
1998
Springer
15 years 3 months ago
1998
Springer
Belief revision theory aims to describe how one should change one's beliefs when they are contradicted by newly input information. The guiding principle of belief revision th...
COLT
2006
Springer
15 years 3 months ago
2006
Springer
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...