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Grammatical Inference, de la Higuera


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Цена: 8326р.
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Автор: de la Higuera
Название:  Grammatical Inference
Издательство: Cambridge Academ
Классификация:
Искусственный интеллект

ISBN: 0521763169
ISBN-13(EAN): 9780521763165
ISBN: 0-521-76316-9
ISBN-13(EAN): 978-0-521-76316-5
Обложка/Формат: Hardback
Страницы: 432
Вес: 0.9 кг.
Дата издания: 01.04.2010
Серия: Pattern recognition and machine learning
Язык: ENG
Иллюстрации: 170 b/w illus. 25 tables 1 music example 160 exercises
Размер: 24.64 x 17.02 x 2.54 cm
Читательская аудитория: machine learning, computational linguistics
Основная тема: Computer science
Подзаголовок: Learning Automata and Grammars
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: 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.
Дополнительное описание:




Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 4787 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Inference on the Low Level / An Investigation into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition

Автор: Leitgeb Hannes
Название: Inference on the Low Level / An Investigation into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition
ISBN: 1402024924 ISBN-13(EAN): 9781402024924
Издательство: Springer
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Цена: 18232 р.
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Описание: This monograph provides a new account of justified inference as a cognitive process. In contrast to the prevailing tradition in epistemology, the focus is on low-level inferences, i.e., those inferences that we are usually not consciously aware of and that we share with the cat nearby which infers that the bird which she sees picking grains from the dirt, is able to fly. Presumably, such inferences are not generated by explicit logical reasoning, but logical methods can be used to describe and analyze such inferences. Part 1 gives a purely system-theoretic explication of belief and inference. Part 2 adds a reliabilist theory of justification for inference, with a qualitative notion of reliability being employed. Part 3 recalls and extends various systems of deductive and nonmonotonic logic and thereby explains the semantics of absolute and high reliability. In Part 4 it is proven that qualitative neural networks are able to draw justified deductive and nonmonotonic inferences on the basis of distributed representations. This is derived from a soundness/completeness theorem with regard to cognitive semantics of nonmonotonic reasoning. The appendix extends the theory both logically and ontologically, and relates it to A. Goldman's reliability account of justified belief.

Diagrammatic Representation and Inference / 4th International Conference, Diagrams 2006, Stanford, CA, USA, June 28-30, 2006, Proceedings

Автор: Barker-Plummer Dave, Cox Richard, Swoboda Nik
Название: Diagrammatic Representation and Inference / 4th International Conference, Diagrams 2006, Stanford, CA, USA, June 28-30, 2006, Proceedings
ISBN: 3540356231 ISBN-13(EAN): 9783540356233
Издательство: Springer
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Цена: 6544 р.
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Описание: This book constitutes the refereed proceedings of the 4th International Conference on Theory and Application of Diagrams, Diagrams 2006, held in Stanford, CA, USA in June 2006.The 13 revised full papers, 9 revised short papers, and 12 extended abstracts presented together with 2 keynote papers and 2 tutorial papers were carefully reviewed and selected from about 80 submissions. The papers are organized in topical sections on diagram comprehension by humans and machines, notations: history, design and formalization, diagrams and education, reasoning with diagrams by humans and machines, as well as psychological issues in comprehension, production and communication.

Diagrammatic Representation and Inference / Second International Conference, Diagrams 2002 Callaway Gardens, GA, USA, April 18-20, 2002 Proceedings

Автор: Hegarty Mary, Meyer Bernd, Narayanan N. Hari
Название: Diagrammatic Representation and Inference / Second International Conference, Diagrams 2002 Callaway Gardens, GA, USA, April 18-20, 2002 Proceedings
ISBN: 3540435611 ISBN-13(EAN): 9783540435617
Издательство: Springer
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Цена: 7479 р.
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Описание: This book constitutes the refereed proceedings of the Second International Conference Diagrams 2002, held in Callaway Gardens, Georgia, USA, in April 2002.The 21 revised full papers and 19 posters presented were carefully reviewed and selected from 77 submissions. The papers are organized in topical sections on understanding and communicating with diagrams, diagrams in mathematics, computational aspects of diagrammatic representation and reasoning, logic and diagrams, diagrams in human-computer interaction, tracing the process of diagrammatic reasoning, visualizing information with diagrams, diagrams and software engineering, and cognitive aspects.

Inference Control in Statistical Databases / From Theory to Practice

Автор: Domingo-Ferrer Josep
Название: Inference Control in Statistical Databases / From Theory to Practice
ISBN: 3540436146 ISBN-13(EAN): 9783540436140
Издательство: Springer
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Цена: 6544 р.
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Описание: Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science.This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.

Incomplete Information: Structure, Inference, Complexity

Автор: Demri Stephane P., Orlowska Ewa S.
Название: Incomplete Information: Structure, Inference, Complexity
ISBN: 3540419047 ISBN-13(EAN): 9783540419044
Издательство: Springer
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Цена: 15427 р.
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Описание: This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The book studies structures with incomplete information from the logical, algebraic and computational perspective. The formalisms developed are non-invasive in that only the actual information is needed in the process of analysis without external sources of information being required.The book is intended for researchers, lecturers and graduate students who wish to get acquainted with the rough set style approach to information systems with incomplete information.

A Logical Theory of Nonmonotonic Inference and Belief Change

Автор: Bochman Alexander
Название: A Logical Theory of Nonmonotonic Inference and Belief Change
ISBN: 3540417664 ISBN-13(EAN): 9783540417668
Издательство: Springer
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Цена: 14492 р.
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Описание: This monograph provides logical foundations and a uniform description for nonmonotonic reasoning and belief change. The approach to both these subjects is based on a powerful notion of an epistemic state that subsumes both existing models for nonmonotonic inference and current models for belief change. Many results and constructions in the book are completely new and have not appeared earlier in the literature.The book is primarily intended for experts in Artificial Intelligence and Knowledge Representation who are interested in tools for describing commonsense reasoning tasks as well as in representation capabilities of such tools. It is also of interest to general logicians.

Grammatical Inference: Algorithms and Applications / 7th International Colloquium, ICGI 2004, Athens, Greece, October 11-13, 2004. Proceedings

Автор: Paliouras Georgios, Sakakibara Yasubumi
Название: Grammatical Inference: Algorithms and Applications / 7th International Colloquium, ICGI 2004, Athens, Greece, October 11-13, 2004. Proceedings
ISBN: 3540234101 ISBN-13(EAN): 9783540234104
Издательство: Springer
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Цена: 6544 р.
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Описание: 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.

Grammatical Inference

Автор: Wojciech Wieczorek
Название: Grammatical Inference
ISBN: 3319468006 ISBN-13(EAN): 9783319468006
Издательство: Springer
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Цена: 11359 р.
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Описание:

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.
Though 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.>
Foundations in Grammatical Evolution for Dynamic Environments

Автор: Ian Dempsey; Michael O`Neill; Anthony Brabazon
Название: Foundations in Grammatical Evolution for Dynamic Environments
ISBN: 3642003133 ISBN-13(EAN): 9783642003134
Издательство: Springer
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Цена: 14024 р.
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Описание: Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. This book illustrates development in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. It is of interest to practitioners, academics and students.

Argument, Inference and Dialectic / Collected Papers on Informal Logic

Автор: Pinto R.C., Hansen Hans V.
Название: Argument, Inference and Dialectic / Collected Papers on Informal Logic
ISBN: 0792370058 ISBN-13(EAN): 9780792370055
Издательство: Springer
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Цена: 14024 р.
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Описание: This volume contains 12 papers addressed to researchers and advanced students in informal logic and related fields, such as argumentation, formal logic, and communications. Among the issues are attempts to rethink the nature of argument and of inference, the role of dialectical context, and the standards for evaluating inferences, and to shed light on the interfaces between informal logic and argumentation theory, rhetoric, formal logic and cognitive psychology. The volume contains a concluding chapter that interrelates and qualifies the ideas developed in the individual papers.

A Computational Model of Natural Language Communication / Interpretation, Inference, and Production in Database Semantics

Автор: Hausser Roland
Название: A Computational Model of Natural Language Communication / Interpretation, Inference, and Production in Database Semantics
ISBN: 354035476X ISBN-13(EAN): 9783540354765
Издательство: Springer
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Цена: 7008 р.
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Описание: Everyday life would be easier if we could simply talk with machines instead of having to program them. Before such talking robots can be built, however, there must be a theory of how communicating with natural language works. This requires not only a grammatical analysis of the language signs, but also a model of the cognitive agent, with interfaces for recognition and action, an internal database, and an algorithm for reading content in and out. In Database Semantics, these ingredients are used for reconstructing natural language communication as a mechanism for transferring content from the database of the speaker to the database of the hearer.Part I of this book presents a high-level description of an artificial agent which humans can freely communicate with in their accustomed language. Part II analyzes the major constructions of natural language, i.e., intra- and extrapropositional functor - argument structure, coordination, and coreference, in the speaker and the hearer mode. Part III defines declarative specifications for fragments of English, which are used for an implementation in Java. The ideal of using human language to control machines requires a practical theory of natural language communication that includes grammatical analysis of language signs, plus a model of the cognitive agent, with interfaces for recognition and action, an internal database, and an algorithm for reading content in and out. This book offers a functional framework for theoretical analysis of natural language communication and for practical applications of natural language processing.


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