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ALT
2010
Springer
13 years 9 months ago
A Lower Bound for Learning Distributions Generated by Probabilistic Automata
Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability
Borja Balle, Jorge Castro, Ricard Gavaldà
FORMATS
2004
Springer
14 years 26 days ago
Symbolic Model Checking for Probabilistic Timed Automata
Probabilistic timed automata are timed automata extended with discrete probability distributions, and can be used to model timed randomised protocols or faulttolerant systems. We ...
Marta Z. Kwiatkowska, Gethin Norman, Jeremy Sprost...
IFM
2007
Springer
104views Formal Methods» more  IFM 2007»
14 years 1 months ago
Probabilistic Timed Behavior Trees
The Behavior Tree notation has been developed as a method for systematically and traceably capturing user requirements. In this paper we extend the notation with probabilistic beha...
Robert Colvin, Lars Grunske, Kirsten Winter
LICS
1998
IEEE
13 years 11 months ago
Compositional Analysis of Expected Delays in Networks of Probabilistic I/O Automata
Probabilistic I/O automata (PIOA) constitute a model for distributed or concurrent systems that incorporates a notion of probabilistic choice. The PIOA model provides a notion of ...
Eugene W. Stark, Scott A. Smolka
COLT
1995
Springer
13 years 11 months ago
On the Learnability and Usage of Acyclic Probabilistic Finite Automata
We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishabi...
Dana Ron, Yoram Singer, Naftali Tishby