| 书目名称 | Topics in Grammatical Inference | | 编辑 | Jeffrey Heinz,José M. Sempere | | 视频video | | | 概述 | Contributing authors among leading researchers in this.Valuable for researchers and graduate students in theoretical computer science,.computational linguistics, bioinformatics, and cognitive psycholo | | 图书封面 |  | | 描述 | .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 theoretical learning frameworks; the nextfour chapters focus on the main classes of formal languages according toChomsky‘s hierarchy, in particular regular and context-free languages; and thefinal chapter addresses the processing of biosequences... ..The topics chosen are of foundational interest withrelatively mature and established results, algorithms and conclusions. The bookwill be of value to researchers and graduate students in areas such astheoretical computer science, machine learning, computational linguistics, bioinformatics,and cognitive psychology who are engaged with the study of learning, 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.. | | 出版日期 | Book 2016 | | 关键词 | Automata Theory; Formal Languages; Grammatical Inference; Graph Grammars; Machine Learning; Computational | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-48395-4 | | isbn_softcover | 978-3-662-56920-7 | | isbn_ebook | 978-3-662-48395-4 | | copyright | Springer-Verlag Berlin Heidelberg 2016 |
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发表于 2025-3-21 16:38:35
