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» Learning Classes of Probabilistic Automata
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COLT
2006
Springer
15 years 1 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
15 years 4 months 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
15 years 6 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
15 years 2 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,...