Grammatical Inference: Theoretical Results and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642154875
Total Pages : 328 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Grammatical Inference: Theoretical Results and Applications by : José Sempere

Download or read book Grammatical Inference: Theoretical Results and Applications written by José Sempere and published by Springer Science & Business Media. This book was released on 2010-09-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Colloquium on Grammatical Inference, ICGI 2010, held in Valencia, Spain, in September 2010. The 18 revised full papers and 14 revised short papers presented were carefully reviewed and selected from numerous submissions. The topics of the papers presented vary from theoretical results about the learning of different formal language classes (regular, context-free, context-sensitive, etc.) to application papers on bioinformatics, language modelling or software engineering. Furthermore there are two invited papers on the topics grammatical inference and games and molecules, languages, and automata.

Grammatical Inference: Algorithms and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3540452648
Total Pages : 370 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Yasibumi Sakaibara

Download or read book Grammatical Inference: Algorithms and Applications written by Yasibumi Sakaibara and published by Springer Science & Business Media. This book was released on 2006-09-18 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Colloquium on Grammatical Inference, ICGI 2006. The book presents 25 revised full papers and 8 revised short papers together with 2 invited contributions, carefully reviewed and selected. The topics discussed range from theoretical results of learning algorithms to innovative applications of grammatical inference and from learning several interesting classes of formal grammars to applications to natural language processing.

Grammatical Inference: Algorithms and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3540880089
Total Pages : 314 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Alexander Clark

Download or read book Grammatical Inference: Algorithms and Applications written by Alexander Clark and published by Springer Science & Business Media. This book was released on 2008-09-11 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Colloquium on Grammatical Inference, ICGI 2008, held in Saint-Malo, France, in September 2008. The 21 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 36 submissions. The topics of the papers presented vary from theoretical results of learning algorithms to innovative applications of grammatical inference, and from learning several interesting classes of formal grammars to applications to natural language processing.

Grammatical Inference: Algorithms and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3540234101
Total Pages : 300 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Georgios Paliouras

Download or read book Grammatical Inference: Algorithms and Applications written by Georgios Paliouras and published by Springer Science & Business Media. This book was released on 2004-10-05 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Colloquium on Grammatical Inference, ICGI 2004, held in Athens, Greece in October 2004. The 20 revised full papers and 8 revised poster papers presented together with 3 invited contributions were carefully reviewed and selected from 45 submissions. The topics of the papers presented range from theoretical results of learning algorithms to innovative applications of grammatical inference and from learning several interesting classes of formal grammars to estimations of probabilistic grammars.

State of the Art on Grammatical Inference Using Evolutionary Method

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Publisher : Academic Press
ISBN 13 : 0128221542
Total Pages : 230 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis State of the Art on Grammatical Inference Using Evolutionary Method by : Hari Mohan Pandey

Download or read book State of the Art on Grammatical Inference Using Evolutionary Method written by Hari Mohan Pandey and published by Academic Press. This book was released on 2021-11-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The book's focus lies in the development of robust genetic algorithms for context free grammar induction. The new algorithms discussed in this book incorporate Boolean-based operators during offspring generation within the execution of the genetic algorithm. Hence, the user has no limitation on utilizing the evolutionary methods for grammatical inference. Discusses and summarizes the latest developments in Grammatical Inference, with a focus on Evolutionary Methods Provides an understanding of premature convergence as well as genetic algorithms Presents a performance analysis of genetic algorithms as well as a complete look into the wide range of applications of Grammatical Inference methods Demonstrates how to develop a robust experimental environment to conduct experiments using evolutionary methods and algorithms

Topics in Grammatical Inference

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Publisher : Springer
ISBN 13 : 3662483955
Total Pages : 247 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Topics in Grammatical Inference by : Jeffrey Heinz

Download or read book Topics in Grammatical Inference written by Jeffrey Heinz and published by Springer. This book was released on 2016-05-04 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains advanced theoretical and application-related issues in grammatical inference, a research area inside the inductive inference paradigm for machine learning. The first three chapters of the book deal with issues regarding theoretical learning frameworks; the next four chapters focus on the main classes of formal languages according to Chomsky's hierarchy, in particular regular and context-free languages; and the final chapter addresses the processing of biosequences. The topics chosen are of foundational interest with relatively mature and established results, algorithms and conclusions. The book will be of value to researchers and graduate students in areas such as theoretical computer science, machine learning, computational linguistics, bioinformatics, and cognitive psychology who are engaged with the study of learning, especially of the structure underlying the concept to be learned. Some knowledge of mathematics and theoretical computer science, including formal language theory, automata theory, formal grammars, and algorithmics, is a prerequisite for reading this book.

Grammatical Inference: Algorithms and Applications

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Publisher : Springer
ISBN 13 : 3540452575
Total Pages : 321 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Arlindo L. Oliveira

Download or read book Grammatical Inference: Algorithms and Applications written by Arlindo L. Oliveira and published by Springer. This book was released on 2004-02-13 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Colloquium on Grammatical Inference, ICGI 2000, held in Lisbon, Portugal in September 2000. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers address topics like machine learning, automata, theoretical computer science, computational linguistics, pattern recognition, artificial neural networks, natural language acquisition, computational biology, information retrieval, text processing, and adaptive intelligent agents.

Grammatical Inference

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Publisher : Springer
ISBN 13 : 3319468014
Total Pages : 145 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Grammatical Inference by : Wojciech Wieczorek

Download or read book Grammatical Inference written by Wojciech Wieczorek and published by Springer. This book was released on 2016-10-25 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective of practitioners. To do so, it employs the Python programming language to present all of the methods discussed. Grammatical inference is a field that lies at the intersection of multiple disciplines, with contributions from computational linguistics, pattern recognition, machine learning, computational biology, formal learning theory and many others. divThough the book is largely practical, it also includes elements of learning theory, combinatorics on words, the theory of automata and formal languages, plus references to real-world problems. The listings presented here can be directly copied and pasted into other programs, thus making the book a valuable source of ready recipes for students, academic researchers, and programmers alike, as well as an inspiration for their further development.>

Grammatical Inference: Algorithms and Applications

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Publisher : Springer
ISBN 13 : 9783540881049
Total Pages : 305 pages
Book Rating : 4.8/5 (81 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Alexander Clark

Download or read book Grammatical Inference: Algorithms and Applications written by Alexander Clark and published by Springer. This book was released on 2009-08-29 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Grammatical Inference: Algorithms and Applications

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Publisher : Springer
ISBN 13 : 3540457909
Total Pages : 325 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Grammatical Inference: Algorithms and Applications by : Pieter Adriaans

Download or read book Grammatical Inference: Algorithms and Applications written by Pieter Adriaans and published by Springer. This book was released on 2003-08-02 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Sixth International Colloquium on Grammatical Inference (ICGI2002) was held in Amsterdam on September 23-25th, 2002. ICGI2002 was the sixth in a series of successful biennial international conferenceson the area of grammatical inference. Previous meetings were held in Essex, U.K.; Alicante, Spain; Mo- pellier, France; Ames, Iowa, USA; Lisbon, Portugal. This series of meetings seeks to provide a forum for the presentation and discussion of original research on all aspects of grammatical inference. Gr- matical inference, the process of inferring grammars from given data, is a ?eld that not only is challenging from a purely scienti?c standpoint but also ?nds many applications in real-world problems. Despite the fact that grammatical inference addresses problems in a re- tively narrow area, it uses techniques from many domains, and is positioned at the intersection of a number of di?erent disciplines. Researchers in grammatical inference come from ?elds as diverse as machine learning, theoretical computer science, computational linguistics, pattern recognition, and arti?cial neural n- works. From a practical standpoint, applications in areas like natural language - quisition, computational biology, structural pattern recognition, information - trieval, text processing, data compression and adaptive intelligent agents have either been demonstrated or proposed in the literature. The technical program included the presentation of 23 accepted papers (out of 41 submitted). Moreover, for the ?rst time a software presentation was or- nized at ICGI. Short descriptions of the corresponding software are included in these proceedings, too.

Empiricism and Language Learnability

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Publisher : OUP Oxford
ISBN 13 : 0191053589
Total Pages : 272 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Empiricism and Language Learnability by : Nick Chater

Download or read book Empiricism and Language Learnability written by Nick Chater and published by OUP Oxford. This book was released on 2015-07-09 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary new work explores one of the central theoretical problems in linguistics: learnability. The authors, from different backgrounds—-linguistics, philosophy, computer science, psychology and cognitive science-explore the idea that language acquisition proceeds through general purpose learning mechanisms, an approach that is broadly empiricist both methodologically and psychologically. For many years, the empiricist approach has been taken to be unfeasible on practical and theoretical grounds. In the book, the authors present a variety of precisely specified mathematical and computational results that show that empiricist approaches can form a viable solution to the problem of language acquisition. It assumes limited technical background and explains the fundamental principles of probability, grammatical description and learning theory in an accessible and non-technical way. Different chapters address the problem of language acquisition using different assumptions: looking at the methodology of linguistic analysis using simplicity based criteria, using computational experiments on real corpora, using theoretical analysis using probabilistic learning theory, and looking at the computational problems involved in learning richly structured grammars. Written by four researchers in the full range of relevant fields: linguistics (John Goldsmith), psychology (Nick Chater), computer science (Alex Clark), and cognitive science (Amy Perfors), the book sheds light on the central problems of learnability and language, and traces their implications for key questions of theoretical linguistics and the study of language acquisition.

Grammatical Inference

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (812 download)

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Book Synopsis Grammatical Inference by :

Download or read book Grammatical Inference written by and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

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Publisher : Morgan Kaufmann
ISBN 13 : 0128042591
Total Pages : 592 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology by : Hamid R Arabnia

Download or read book Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology written by Hamid R Arabnia and published by Morgan Kaufmann. This book was released on 2016-03-25 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. Explores all the latest advances in this fast-developing field from an applied perspective Provides the only coherent and comprehensive treatment of the subject available Covers the algorithm development, software design, and database applications that have been developed to foster research

Parallel Computing: On the Road to Exascale

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Publisher : IOS Press
ISBN 13 : 1614996210
Total Pages : 872 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Parallel Computing: On the Road to Exascale by : G.R. Joubert

Download or read book Parallel Computing: On the Road to Exascale written by G.R. Joubert and published by IOS Press. This book was released on 2016-04-28 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: As predicted by Gordon E. Moore in 1965, the performance of computer processors increased at an exponential rate. Nevertheless, the increases in computing speeds of single processor machines were eventually curtailed by physical constraints. This led to the development of parallel computing, and whilst progress has been made in this field, the complexities of parallel algorithm design, the deficiencies of the available software development tools and the complexity of scheduling tasks over thousands and even millions of processing nodes represent a major challenge to the construction and use of more powerful parallel systems. This book presents the proceedings of the biennial International Conference on Parallel Computing (ParCo2015), held in Edinburgh, Scotland, in September 2015. Topics covered include computer architecture and performance, programming models and methods, as well as applications. The book also includes two invited talks and a number of mini-symposia. Exascale computing holds enormous promise in terms of increasing scientific knowledge acquisition and thus contributing to the future well-being and prosperity of mankind. A number of innovative approaches to the development and use of future high-performance and high-throughput systems are to be found in this book, which will be of interest to all those whose work involves the handling and processing of large amounts of data.

Pattern Recognition and Image Analysis

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Publisher : Universitat Jaume I
ISBN 13 : 9788480213516
Total Pages : 358 pages
Book Rating : 4.2/5 (135 download)

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Book Synopsis Pattern Recognition and Image Analysis by : J. Salvador Sánchez

Download or read book Pattern Recognition and Image Analysis written by J. Salvador Sánchez and published by Universitat Jaume I. This book was released on 2001 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Selection and Error Estimation in a Nutshell

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Publisher : Springer
ISBN 13 : 3030243591
Total Pages : 132 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Model Selection and Error Estimation in a Nutshell by : Luca Oneto

Download or read book Model Selection and Error Estimation in a Nutshell written by Luca Oneto and published by Springer. This book was released on 2019-07-17 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80’s and includes the most recent results. It discusses open problems and outlines future directions for research.

Tools and Algorithms for the Construction and Analysis of Systems

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Publisher : Springer Nature
ISBN 13 : 3030995240
Total Pages : 583 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Tools and Algorithms for the Construction and Analysis of Systems by : Dana Fisman

Download or read book Tools and Algorithms for the Construction and Analysis of Systems written by Dana Fisman and published by Springer Nature. This book was released on 2022-03-29 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems.