2440 search results - page 14 / 488 » Abstraction Learning |
ICGI
1998
Springer
13 years 11 months ago
1998
Springer
Abstract. The present paper presents a new approach of how to convert Gold-style [4] learning in the limit into stochastically finite learning with high confidence. We illustrate t...
EAMT
1993
13 years 11 months ago
1993
Daelemans W. Abstraction Considered Harmful: Lazy Learning of Language Processing. Proceedings of the 6th 5th Belgian-Dutch Conference on Machine Learning 1996; 3-12.
SAB
2010
Springer
13 years 5 months ago
2010
Springer
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
ALT
2001
Springer
14 years 4 months ago
2001
Springer
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
MCS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...