International audienceWe present Stamina, a tool solving three algorithmic problems in au-tomata theory. First, compute the star height of a regular language, i.e. the minimal number of nested Kleene stars needed for expressing the language with a complement-free regular expression. Second, decide limitedness for regular cost functions. Third, decide whether a probabilistic leaktight automaton has value 1, i.e. whether a probabilistic leaktight automaton accepts words with probability arbitrarily close to 1. All three problems reduce to the computation of the stabilisation monoid associated with an automaton, which is computationally challenging because the monoid is exponentially larger than the automaton. The compact data structures used ...
International audienceThe value 1 problem is a decision problem for probabilistic automata over fini...
In this paper we present omega, a package of algorithms from the theory of !-automata. It is a growi...
International audienceApplications of probabilistic grammatical inference are limited due to time an...
International audienceWe present Stamina, a tool solving three algorithmic problems in au-tomata the...
International audienceWe present Stamina, a tool solving three algorithmic problems in au-tomata the...
We present Stamina, a tool solving three algorithmic problems in automata theory. First, compute the...
International audienceWe present ACME, a tool implementing algebraic techniques to solve decision pr...
Abstract. We present ACME, a tool implementing algebraic techniques to solve decision problems from ...
We present an efficient algorithm to reduce the size of nondeter-ministic Büchi word automata, whil...
International audienceThe value 1 problem is a decision problem for probabilistic automata over fini...
International audienceThe value 1 problem is a decision problem for probabilistic automata over fini...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
Abstract. We introduce the notion of regular cost functions: a quanti-tative extension to the standa...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
International audienceWe introduce the notion of regular cost functions: a quantitative extension to...
International audienceThe value 1 problem is a decision problem for probabilistic automata over fini...
In this paper we present omega, a package of algorithms from the theory of !-automata. It is a growi...
International audienceApplications of probabilistic grammatical inference are limited due to time an...
International audienceWe present Stamina, a tool solving three algorithmic problems in au-tomata the...
International audienceWe present Stamina, a tool solving three algorithmic problems in au-tomata the...
We present Stamina, a tool solving three algorithmic problems in automata theory. First, compute the...
International audienceWe present ACME, a tool implementing algebraic techniques to solve decision pr...
Abstract. We present ACME, a tool implementing algebraic techniques to solve decision problems from ...
We present an efficient algorithm to reduce the size of nondeter-ministic Büchi word automata, whil...
International audienceThe value 1 problem is a decision problem for probabilistic automata over fini...
International audienceThe value 1 problem is a decision problem for probabilistic automata over fini...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
Abstract. We introduce the notion of regular cost functions: a quanti-tative extension to the standa...
We consider the value 1 problem for probabilistic automata over finite words: it asks whether a give...
International audienceWe introduce the notion of regular cost functions: a quantitative extension to...
International audienceThe value 1 problem is a decision problem for probabilistic automata over fini...
In this paper we present omega, a package of algorithms from the theory of !-automata. It is a growi...
International audienceApplications of probabilistic grammatical inference are limited due to time an...