Sciweavers

65 search results - page 5 / 13
» Learning Rational Stochastic Languages
Sort
View
IEEEICCI
2003
IEEE
14 years 27 days ago
Conceptual Framework for Interactive Ontology Building
Abstract— An ontology is a formal language adequately representing the knowledge used for reasoning in a specific environment. When contradictions arise and make ontologies inad...
Jean Sallantin, Jacques Divol, Patrice Duroux
SAGA
2001
Springer
14 years 1 days ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
TCS
2008
13 years 7 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
ICGI
1998
Springer
13 years 12 months ago
A Stochastic Search Approach to Grammar Induction
This paper describes a new sampling-based heuristic for tree search named SAGE and presents an analysis of its performance on the problem of grammar induction. This last work has b...
Hugues Juillé, Jordan B. Pollack
ALT
2003
Springer
13 years 11 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann