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» Learning Classes of Probabilistic Automata
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COLT
2006
Springer
13 years 9 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
ICML
2009
IEEE
14 years 10 days ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
ALT
2009
Springer
14 years 2 months ago
Uncountable Automatic Classes and Learning
In this paper we consider uncountable classes recognizable by ω-automata and investigate suitable learning paradigms for them. In particular, the counterparts of explanatory, vac...
Sanjay Jain, Qinglong Luo, Pavel Semukhin, Frank S...
FORMATS
2003
Springer
13 years 10 months ago
Performance Analysis of Probabilistic Timed Automata Using Digital Clocks
Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a specification formalism suitable for describing both nondeterminis...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...