May 31, 2023 · We solve the optimal spectral-norm approximate minimization problem for irredundant WFAs with real weights, defined over a one-letter alphabet.
In this paper, we study the approximate minimization problem of weighted finite au- tomata (WFAs): to compute the best possible approximation of a WFA given ...
May 31, 2023 · Abstract. In this paper, we study the approximate minimization problem of weighted finite au- tomata (WFAs): to compute the best possible ...
Abstract:In this paper, we study the approximate minimization problem of weighted finite automata (WFAs): to compute the best possible approximation of a ...
We address the approximate minimization problem for weighted finite automata (WFAs) with weights in R, over a one-letter alphabet: to compute the best possible ...
In this paper, we study the approximate minimization problem of weighted finite automata (WFAs): to compute the best possible approximation of a WFA given a ...
We address the approximate minimization problem for weighted finite automata (WFAs) with weights in $\mathbb{R}$, over a one-letter alphabet: to compute the ...
Sep 10, 2024 · In this paper we study the approximate minimization problem for language modelling. We assume we are given some language model as a black box.
Optimal Spectral-Norm Approximate Minimization of Weighted Finite ...
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An algorithm is developed, based on the properties of Hankel operators, that returns the optimal approximation in the spectral norm of a weighted finite ...
In this thesis, we leverage classical results from the theory of Hankel operators to tackle the approximate minimization problem and its applications to ...