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» Learning Finite Automata Using Label Queries
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EMNLP
2008
13 years 8 months ago
An Analysis of Active Learning Strategies for Sequence Labeling Tasks
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
Burr Settles, Mark Craven
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
ICML
2005
IEEE
14 years 8 months ago
Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
Sylvain Calinon, Aude Billard
ECAI
2010
Springer
13 years 7 months ago
Knowledge Compilation Using Interval Automata and Applications to Planning
Knowledge compilation [6, 5, 14, 8] consists in transforming a problem offline into a form which is tractable online. In this paper, we introduce new structures, based on the notio...
Alexandre Niveau, Hélène Fargier, C&...
CEC
2003
IEEE
14 years 20 days ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds