Results 51 to 60 of about 1,475,237 (325)
Robust Weighted Timed Automata and Games [PDF]
Weighted timed automata extend timed automata with cost variables that can be used to model the evolution of various quantities. Although cost-optimal reachability is decidable (in polynomial space) on this model, it becomes undecidable on weighted ...
Markey, Nicolas +5 more
core +1 more source
Hyper-Minimization for Deterministic Weighted Tree Automata [PDF]
Hyper-minimization is a state reduction technique that allows a finite change in the semantics. The theory for hyper-minimization of deterministic weighted tree automata is provided.
Andreas Maletti, Daniel Quernheim
doaj +1 more source
Initial-state detectability and initial-state opacity of unambiguous weighted automata
In this paper, we investigate the verification problem of initial-state detectability (I-detectability) and initial-state opacity (I-opacity) in discrete event systems modeled by unambiguous weighted automata.
Aiwen Lai, S. Lahaye, Zhi-Wu Li
semanticscholar +1 more source
Alternating Weighted Automata [PDF]
Weighted automata are finite automata with numerical weights on transitions. Nondeterministic weighted automata define quantitative languages L that assign to each word w a real number L(w) computed as the maximal value of all runs over w, and the value of a run r is a function of the sequence of weights that appear along r.
Chatterjee, Krishnendu +2 more
openaire +3 more sources
Weighted Tree Automata with Constraints
AbstractThe HOM problem, which asks whether the image of a regular tree language under a given tree homomorphism is again regular, is known to be decidable [Godoy & Giménez: The HOM problem is decidable. JACM 60(4), 2013]. However, the problem remains open for regular weighted tree languages.
Andreas Maletti, Andreea-Teodora Nász
openaire +6 more sources
Learning Weighted Automata over Number Rings, Concretely and Categorically [PDF]
We develop a generic reduction procedure for active learning problems. Our approach is inspired by a recent polynomial-time reduction of the exact learning problem for weighted automata over integers to that for weighted automata over rationals (Buna ...
Quentin Aristote +3 more
semanticscholar +1 more source
Approximating Probabilistic Models as Weighted Finite Automata
Weighted finite automata (WFAs) are often used to represent probabilistic models, such as n-gram language models, because among other things, they are efficient for recognition tasks in time and space. The probabilistic source to be represented as a WFA,
Ananda Theertha Suresh +3 more
doaj +1 more source
Distillation of weighted automata from recurrent neural networks using a spectral approach [PDF]
This paper is an attempt to bridge the gap between deep learning and grammatical inference. Indeed, it provides an algorithm to extract a (stochastic) formal language from any recurrent neural network trained for language modelling.
Rémi Eyraud, S. Ayache
semanticscholar +1 more source
Expressiveness and Closure Properties for Quantitative Languages [PDF]
Weighted automata are nondeterministic automata with numerical weights on transitions. They can define quantitative languages~$L$ that assign to each word~$w$ a real number~$L(w)$.
Krishnendu Chatterjee +2 more
doaj +1 more source
Detectability of labeled weighted automata over monoids [PDF]
In this paper, by developing appropriate methods, we for the first time obtain characterization of four fundamental notions of detectability for general labeled weighted automata over monoids (denoted by AM\documentclass[12pt]{minimal} \usepackage ...
Kui-Ze Zhang
semanticscholar +1 more source

