Weighted finite automata (WFA) are finite automata whose transitions and states are augmented with some weights, elements of a semiring.
Oct 30, 2019 · Abstract:We present an algorithm for extraction of a probabilistic deterministic finite automaton (PDFA) from a given black-box language ...
A weighted automaton or weighted finite-state machine is a generalization of a finite-state machine in which the edges have weights, for example real numbers ...
Intuitively the situation for weighted automata is more symmetric than for DFA: in particular, the number of rows and columns is always the same. References. [1] ...
Abstract. We show that weighted automata over the field of two elements can be exponentially more compact than non-deterministic finite state automata.
Oct 14, 2021 · Abstract. The goal of this work is to introduce the reader to weighted finite-state automata and their application to machine learning.
Sep 9, 2015 · Weighted finite automata (WFA) are finite automata whose transitions and states are augmented with some weights, elements of a semiring.
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Abstract In recent years we have seen the development of efficient provably correct algo- rithms for learning Weighted Finite Automata (WFA).
This chapter presents several fundamental algorithms for weighted automata and transducers. While the mathematical counterparts of weighted trans-.
Duration: 1:06:26
Posted: May 19, 2022
Posted: May 19, 2022