Introduction To Probabilistic Automata

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Introduction to Probabilistic Automata

Author : Azaria Paz
Publisher : Academic Press
ISBN 13 : 1483268578
Total Pages : 255 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Introduction to Probabilistic Automata by : Azaria Paz

Download or read book Introduction to Probabilistic Automata written by Azaria Paz and published by Academic Press. This book was released on 2014-05-10 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Probabilistic Automata deals with stochastic sequential machines, Markov chains, events, languages, acceptors, and applications. The book describes mathematical models of stochastic sequential machines (SSMs), stochastic input-output relations, and their representation by SSMs. The text also investigates decision problems and minimization-of-states problems arising from concepts of equivalence and coverings for SSMs. The book presents the theory of nonhomogeneous Markov chains and systems in mathematical terms, particularly in relation to asymptotic behavior, composition (direct sum or product), and decomposition. "Word functions," induced by Markov chains and valued Markov systems, involve characterization, equivalence, and representability by an underlying Markov chain or system. The text also discusses the closure properties of probabilistic languages, events and their relation to regular events, particularly with reference to definite, quasidefinite, and exclusive events. Probabilistic automata theory has applications in information theory, control, learning theory, pattern recognition, and time sharing in computer programming. Programmers, computer engineers, computer instructors, and students of computer science will find the collection highly valuable.

Introduction to Probabilistic Automata

Author : Azaria Paz
Publisher :
ISBN 13 :
Total Pages : 404 pages
Book Rating : 4.:/5 (35 download)

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Book Synopsis Introduction to Probabilistic Automata by : Azaria Paz

Download or read book Introduction to Probabilistic Automata written by Azaria Paz and published by . This book was released on 1971 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Automata, Languages and Programming

Author : Fernando Orejas
Publisher : Springer Science & Business Media
ISBN 13 : 3540422870
Total Pages : 1098 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Automata, Languages and Programming by : Fernando Orejas

Download or read book Automata, Languages and Programming written by Fernando Orejas and published by Springer Science & Business Media. This book was released on 2001-06-27 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 28th International Colloquium on Automata, Languages and Programming, ICALP 2001, held in Crete, Greece in July 2001. The 80 revised papers presented together with two keynote contributions and four invited papers were carefully reviewed and selected from a total of 208 submissions. The papers are organized in topical sections on algebraic and circuit complexity, algorithm analysis, approximation and optimization, complexity, concurrency, efficient data structures, graph algorithms, language theory, codes and automata, model checking and protocol analysis, networks and routing, reasoning and verification, scheduling, secure computation, specification and deduction, and structural complexity.

An Introduction to the Theory of Formal Languages and Automata

Author : Willem J. M. Levelt
Publisher : John Benjamins Publishing
ISBN 13 : 9027232504
Total Pages : 151 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis An Introduction to the Theory of Formal Languages and Automata by : Willem J. M. Levelt

Download or read book An Introduction to the Theory of Formal Languages and Automata written by Willem J. M. Levelt and published by John Benjamins Publishing. This book was released on 2008 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present text is a re-edition of Volume I of Formal Grammars in Linguistics and Psycholinguistics, a three-volume work published in 1974. This volume is an entirely self-contained introduction to the theory of formal grammars and automata, which hasn't lost any of its relevance. Of course, major new developments have seen the light since this introduction was first published, but it still provides the indispensible basic notions from which later work proceeded. The author's reasons for writing this text are still relevant: an introduction that does not suppose an acquaintance with sophisticated mathematical theories and methods, that is intended specifically for linguists and psycholinguists (thus including such topics as learnability and probabilistic grammars), and that provides students of language with a reference text for the basic notions in the theory of formal grammars and automata, as they keep being referred to in linguistic and psycholinguistic publications; the subject index of this introduction can be used to find definitions of a wide range of technical terms. An appendix has been added with further references to some of the core new developments since this book originally appeared.

Probabilistic Cellular Automata

Author : Pierre-Yves Louis
Publisher : Springer
ISBN 13 : 9783319655567
Total Pages : 0 pages
Book Rating : 4.6/5 (555 download)

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Book Synopsis Probabilistic Cellular Automata by : Pierre-Yves Louis

Download or read book Probabilistic Cellular Automata written by Pierre-Yves Louis and published by Springer. This book was released on 2018-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules. Thanks to their probabilistic component, PCA offer flexible computing tools for complex numerical constructions, and realistic simulation tools for phenomena driven by interactions among a large number of neighboring structures. PCA are currently being used in various fields, ranging from pure probability to the social sciences and including a wealth of scientific and technological applications. This situation has produced a highly diversified pool of theoreticians, developers and practitioners whose interaction is highly desirable but can be hampered by differences in jargon and focus. This book – just as the workshop on which it is based – is an attempt to overcome these difference and foster interest among newcomers and interaction between practitioners from different fields. It is not intended as a treatise, but rather as a gentle introduction to the role and relevance of PCA technology, illustrated with a number of applications in probability, statistical mechanics, computer science, the natural sciences and dynamical systems. As such, it will be of interest to students and non-specialists looking to enter the field and to explore its challenges and open issues.

Efficient Parallel Algorithms

Author : Alan Gibbons
Publisher : Cambridge University Press
ISBN 13 : 9780521388412
Total Pages : 280 pages
Book Rating : 4.3/5 (884 download)

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Book Synopsis Efficient Parallel Algorithms by : Alan Gibbons

Download or read book Efficient Parallel Algorithms written by Alan Gibbons and published by Cambridge University Press. This book was released on 1989-11-24 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.

Foundations of Probabilistic Programming

Author : Gilles Barthe
Publisher : Cambridge University Press
ISBN 13 : 110848851X
Total Pages : 583 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Foundations of Probabilistic Programming by : Gilles Barthe

Download or read book Foundations of Probabilistic Programming written by Gilles Barthe and published by Cambridge University Press. This book was released on 2020-12-03 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is also available as Open Access on Cambridge Core.

Learning Automata

Author : Kumpati S. Narendra
Publisher : Courier Corporation
ISBN 13 : 0486268462
Total Pages : 498 pages
Book Rating : 4.4/5 (862 download)

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Book Synopsis Learning Automata by : Kumpati S. Narendra

Download or read book Learning Automata written by Kumpati S. Narendra and published by Courier Corporation. This book was released on 2013-05-27 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms. This volume also provides a fine guide for independent study and a reference for students and professionals in operations research, computer science, artificial intelligence, and robotics. The authors have provided a new preface for this edition.

Applied Automata Theory

Author : Julius T. Tou
Publisher : Academic Press
ISBN 13 : 1483225194
Total Pages : 343 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Applied Automata Theory by : Julius T. Tou

Download or read book Applied Automata Theory written by Julius T. Tou and published by Academic Press. This book was released on 2013-10-22 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Automata Theory provides an engineering style of presentation of some of the applied work in the field of automata theory. Topics covered range from algebraic foundations and recursive functions to regular expressions, threshold logic, and switching circuits. Coding problems and stochastic processes are also discussed, along with content addressable memories, probabilistic reliability, and Turing machines. Much emphasis is placed on engineering applications. Comprised of nine chapters, this book first deals with the algebraic foundations of automata theory, focusing on concepts such as semigroups, groups and homomorphisms, and partially ordered sets and lattices, as well as congruences and other relations. The reader is then introduced to regular expressions; stochastic automata and discrete systems theory; and switching networks as models of discrete stochastic processes. Subsequent chapters explore applications of automata theory in coding; content addressable and distributed logic memories; recursive functions and switching-circuit theory; and synthesis of a cellular computer. The book concludes with an assessment of the fundamentals of threshold logic. This monograph is intended for graduates or advanced undergraduates taking a course in information science or a course on discrete systems in modern engineering curriculum.

Validation of Stochastic Systems

Author : Christel Baier
Publisher : Springer
ISBN 13 : 3540246118
Total Pages : 473 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Validation of Stochastic Systems by : Christel Baier

Download or read book Validation of Stochastic Systems written by Christel Baier and published by Springer. This book was released on 2004-08-26 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial volume presents a coherent and well-balanced introduction to the validation of stochastic systems; it is based on a GI/Dagstuhl research seminar. Supervised by the seminar organizers and volume editors, established researchers in the area as well as graduate students put together a collection of articles competently covering all relevant issues in the area. The lectures are organized in topical sections on: modeling stochastic systems, model checking of stochastic systems, representing large state spaces, deductive verification of stochastic systems.

Learning Algorithms Theory and Applications

Author : S. Lakshmivarahan
Publisher : Springer Science & Business Media
ISBN 13 : 1461259754
Total Pages : 293 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Learning Algorithms Theory and Applications by : S. Lakshmivarahan

Download or read book Learning Algorithms Theory and Applications written by S. Lakshmivarahan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning constitutes one of the most important phase of the whole psychological processes and it is essential in many ways for the occurrence of necessary changes in the behavior of adjusting organisms. In a broad sense influence of prior behavior and its consequence upon subsequent behavior is usually accepted as a definition of learning. Till recently learning was regarded as the prerogative of living beings. But in the past few decades there have been attempts to construct learning machines or systems with considerable success. This book deals with a powerful class of learning algorithms that have been developed over the past two decades in the context of learning systems modelled by finite state probabilistic automaton. These algorithms are very simple iterative schemes. Mathematically these algorithms define two distinct classes of Markov processes with unit simplex (of suitable dimension) as its state space. The basic problem of learning is viewed as one of finding conditions on the algorithm such that the associated Markov process has prespecified asymptotic behavior. As a prerequisite a first course in analysis and stochastic processes would be an adequate preparation to pursue the development in various chapters.

Introduction to Automata Theory, Formal Languages and Computation

Author : Shyamalendu Kandar
Publisher : Pearson Education India
ISBN 13 : 9332516324
Total Pages : 657 pages
Book Rating : 4.3/5 (325 download)

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Book Synopsis Introduction to Automata Theory, Formal Languages and Computation by : Shyamalendu Kandar

Download or read book Introduction to Automata Theory, Formal Languages and Computation written by Shyamalendu Kandar and published by Pearson Education India. This book was released on 2013 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: Formal languages and automata theory is the study of abstract machines and how these can be used for solving problems. The book has a simple and exhaustive approach to topics like automata theory, formal languages and theory of computation. These descriptions are followed by numerous relevant examples related to the topic. A brief introductory chapter on compilers explaining its relation to theory of computation is also given.

An Introduction to Computational Learning Theory

Author : Michael J. Kearns
Publisher : MIT Press
ISBN 13 : 9780262111935
Total Pages : 230 pages
Book Rating : 4.1/5 (119 download)

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Book Synopsis An Introduction to Computational Learning Theory by : Michael J. Kearns

Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.

Grammatical Inference

Author : Colin de la Higuera
Publisher : Cambridge University Press
ISBN 13 : 1139486683
Total Pages : 432 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Grammatical Inference by : Colin de la Higuera

Download or read book Grammatical Inference written by Colin de la Higuera and published by Cambridge University Press. This book was released on 2010-04-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and their topology, automata and grammars, whether probabilistic or not. Part II carefully explores the main questions in the field: What does learning mean? How can we associate complexity theory with learning? In Part III the author describes a number of techniques and algorithms that allow us to learn from text, from an informant, or through interaction with the environment. These concern automata, grammars, rewriting systems, pattern languages or transducers.

Introduction to Formal Languages, Automata Theory and Computation

Author : Kamala Krithivasan
Publisher : Pearson Education India
ISBN 13 : 9788131723562
Total Pages : 446 pages
Book Rating : 4.7/5 (235 download)

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Book Synopsis Introduction to Formal Languages, Automata Theory and Computation by : Kamala Krithivasan

Download or read book Introduction to Formal Languages, Automata Theory and Computation written by Kamala Krithivasan and published by Pearson Education India. This book was released on 2009-09 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Formal Languages, Automata Theory and Computation presents the theoretical concepts in a concise and clear manner, with an in-depth coverage of formal grammar and basic automata types. The book also examines the underlying theory and principles of computation and is highly suitable to the undergraduate courses in computer science and information technology. An overview of the recent trends in the field and applications are introduced at the appropriate places to stimulate the interest of active learners.

Introduction to Information Retrieval

Author : Christopher D. Manning
Publisher : Cambridge University Press
ISBN 13 : 1139472100
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning

Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

The Theory of Timed I/O Automata, Second Edition

Author : Dilsun Kaynar
Publisher : Springer Nature
ISBN 13 : 3031020030
Total Pages : 130 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The Theory of Timed I/O Automata, Second Edition by : Dilsun Kaynar

Download or read book The Theory of Timed I/O Automata, Second Edition written by Dilsun Kaynar and published by Springer Nature. This book was released on 2022-06-01 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents the Timed Input/Output Automaton (TIOA) modeling framework, a basic mathematical framework to support description and analysis of timed (computing) systems. Timed systems are systems in which desirable correctness or performance properties of the system depend on the timing of events, not just on the order of their occurrence. Timed systems are employed in a wide range of domains including communications, embedded systems, real-time operating systems, and automated control. Many applications involving timed systems have strong safety, reliability, and predictability requirements, which make it important to have methods for systematic design of systems and rigorous analysis of timing-dependent behavior. The TIOA framework also supports description and analysis of timed distributed algorithms -- distributed algorithms whose correctness and performance depend on the relative speeds of processors, accuracy of local clocks, or communication delay bounds. Such algorithms arise, for example, in traditional and wireless communications, networks of mobile devices, and shared-memory multiprocessors. The need to prove rigorous theoretical results about timed distributed algorithms makes it important to have a suitable mathematical foundation. An important feature of the TIOA framework is its support for decomposing timed system descriptions. In particular, the framework includes a notion of external behavior for a timed I/O automaton, which captures its discrete interactions with its environment. The framework also defines what it means for one TIOA to implement another, based on an inclusion relationship between their external behavior sets, and defines notions of simulations, which provide sufficient conditions for demonstrating implementation relationships. The framework includes a composition operation for TIOAs, which respects external behavior, and a notion of receptiveness, which implies that a TIOA does not block the passage of time. The TIOA framework also defines the notion of a property and what it means for a property to be a safety or a liveness property. It includes results that capture common proof methods for showing that automata satisfy properties. Table of Contents: Introduction / Mathematical Preliminaries / Describing Timed System Behavior / Timed Automata / Operations on Timed Automata / Properties for Timed Automata / Timed I/O Automata / Operations on Timed I/O Automata / Conclusions and Future Work