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» Learning Classes of Probabilistic Automata
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ALT
2005
Springer
14 years 1 months ago
Learnability of Probabilistic Automata via Oracles
Efficient learnability using the state merging algorithm is known for a subclass of probabilistic automata termed µ-distinguishable. In this paper, we prove that state merging alg...
Omri Guttman, S. V. N. Vishwanathan, Robert C. Wil...
COLT
2004
Springer
13 years 10 months ago
Learning Classes of Probabilistic Automata
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
François Denis, Yann Esposito
CORR
2011
Springer
171views Education» more  CORR 2011»
12 years 12 months ago
A Class of Probabilistic Automata with a Decidable Value 1 Problem
The value 1 problem is a decision problem for probabilistic automata on finite words: given a probabilistic automaton A, are there words accepted by A with probability arbitraril...
Nathanaël Fijalkow, Hugo Gimbert, Youssouf Ou...
ALT
2010
Springer
13 years 1 months ago
A Spectral Approach for Probabilistic Grammatical Inference on Trees
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...
Raphaël Bailly, Amaury Habrard, Franço...
ADVCS
2007
108views more  ADVCS 2007»
13 years 5 months ago
Open Synchronous Cellular Learning Automata
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Hamid Beigy, Mohammad Reza Meybodi