We introduce probabilistic weighted automata, in which the transitions are chosen in a randomized (rather than nondeterministic) fashion. Un- der almost-sure semantics (resp. positive semantics), the value of a word w is the largest real v such that the runs over w have value at least v with probability 1 (resp.
Sep 9, 2009 · We introduce probabilistic weighted automata, in which the transitions are chosen in a randomized (rather than nondeterministic) fashion. Under ...
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We study the classical questions of automata theory for probabilistic weighted automata: emptiness and universality, expressiveness, and closure under various ...
When the weights are real numbers and the outgoing weights for each state add to one, weighted automata can be considered a probabilistic model and are also ...
We introduce probabilistic weighted automata, in which the transitions are chosen in a randomized (rather than nondeterministic) fashion. Under almost-sure ...
Weighted finite automata (WFAs) are often used to represent probabilistic models, such as n-gram language models, because among other things, ...
Abstract. Nondeterministic weighted automata are finite automata with numerical weights on transitions. They define quantitative lan-.
Weighted finite automata (WFA) are often used to represent probabilistic models, such as n-gram language models, since they are efficient for recognition tasks ...
Jan 7, 2020 · Probabilistic and max-plus automata are part of the general family of weighted automata, whose semantics are maps from words to real values.
In mathematics and computer science, the probabilistic automaton (PA) is a generalization of the nondeterministic finite automaton.