Titlebook: Topics in Grammatical Inference; Jeffrey Heinz,José M. Sempere Book 2016 Springer-Verlag Berlin Heidelberg 2016 Automata Theory.Formal Lan

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On the Inference of Finite State Automata from Positive and Negative Data,view the main approaches that solve the inference of finite automata by using positive and negative data from the target language. In this review, we will describe the above-mentioned formalisms and induction techniques.

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rning, especiallyof the structure underlying the concept to be learned. Some knowledge ofmathematics and theoretical computer science, including formal language theory,automata theory, formal grammars, and algorithmics, is a prerequisite forreading this book..978-3-662-56920-7978-3-662-48395-4

只看該作者 · 發(fā)表于 2025-3-24 01:44:55

Gold-Style Learning Theory,The issues considered are: large database size and corresponding .; unavoidable cases of complexity and information deficiencies .; and the complexity of .. In this section a few, seemingly difficult, open mathematical questions are indicated. Some of them are important for cognitive science.

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tational linguistics, bioinformatics, and cognitive psycholo.This book explains advanced theoretical andapplication-related issues in grammatical inference, a research area inside theinductive inference paradigm for machine learning. The first three chapters ofthe book deal with issues regarding the

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Learning Probability Distributions Generated by Finite-State Machines,es, we derive them from a high-level algorithm described in terms of the Hankel matrix of the distribution to be learned, given as an oracle, and then describe how to adapt that algorithm to account for the error introduced by a finite sample.

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Distributional Learning of Context-Free and Multiple Context-Free Grammars, learning algorithms based on these two models using a variety of learning paradigms, and then discuss the natural extension to mildly context-sensitive formalisms, using multiple context-free grammars as a representative formalism.

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Learning the Language of Biological Sequences,. In this chapter, we survey biological sequences’ main specificities and how they are handled in Pattern/Motif Discovery in order to introduce the important concepts and techniques used and present the latest successful approaches in that field by Grammatical Inference.

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Gold-Style Learning Theory,ted by E. Mark Gold’s seminal 1967 paper. One of Gold’s important motivations was to present a formal model of child language learning. This chapter introduces Gold’s model and also presents an introduction to some selected highlights of the theory appearing since Gold?1967. Since both Gold and the

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