Topics in Grammatical Inference, Heinz Jeffrey, Sempere Jose M.
Автор: Jeffrey Heinz; Jos? M. Sempere Название: Topics in Grammatical Inference ISBN: 3662483939 ISBN-13(EAN): 9783662483930 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains advanced theoretical andapplication-related issues in grammatical inference, a research area inside theinductive inference paradigm for machine learning.
Автор: Alexander Clark; Fran?ois Coste; Laurent Miclet Название: Grammatical Inference: Algorithms and Applications ISBN: 3540880089 ISBN-13(EAN): 9783540880080 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 9th International Colloquium on Grammatical Inference, ICGI 2008, held in Saint-Malo, France, in September 2008. This title also includes papers on topics ranging from theoretical results of learning algorithms to innovative applications of grammatical inference.
Автор: Wojciech Wieczorek Название: Grammatical Inference ISBN: 3319468006 ISBN-13(EAN): 9783319468006 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.>
Автор: Wieczorek Wojciech Название: Grammatical Inference: Algorithms, Routines and Applications ISBN: 3319835890 ISBN-13(EAN): 9783319835891 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective of practitioners.
Автор: Ian Dempsey; Michael O`Neill; Anthony Brabazon Название: Foundations in Grammatical Evolution for Dynamic Environments ISBN: 3642101402 ISBN-13(EAN): 9783642101403 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dynamic environments encompass many real-world problems in fields as diverse as finance, engineering and biology. This book describes the state-of-the-art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments.
Автор: Ryan Conor, O`Neill Michael, Collins Jj Название: Handbook of Grammatical Evolution ISBN: 3030087727 ISBN-13(EAN): 9783030087722 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization.The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include:• Grammar design • Bias in GE• Mapping in GE• Theory of disruption in GE· Structured GE· Geometric semantic GE· GE and semantics· Multi- and Many-core heterogeneous parallel GE· Comparing methods to creating constants in GE· Financial modelling with GE· Synthesis of parallel programs on multi-cores· Design, architecture and engineering with GE· Computational creativity and GE· GE in the prediction of glucose for diabetes· GE approaches to bioinformatics and system genomics· GE with coevolutionary algorithms in cybersecurity· Evolving behaviour trees with GE for platform games· Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials
Автор: Ryan Название: Handbook of Grammatical Evolution ISBN: 3319787160 ISBN-13(EAN): 9783319787169 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Introduction to GE.- 2 Understanding Grammatical Evolution: Grammar Design.- 3 Bias in Grammatical Evolution.- 4 Mapping in Grammatical Evolution.- 5 Theory of Disruption in GE.- 6 Structured Grammatical Evolution.- 7 Geometric Semantic Grammatical Evolution.- 8 GE and Semantics.- 9 Multi- and Many-core Heterogeneous Parallel Grammatical Evolution.- 10 Grammatical Evolution.- 11 Financial Modelling with Grammatical Evolution.- 12 Synthesis of Parallel Programs on Multi-cores.- 13 Design, Architecture and Engineering with Grammatical Evolution.- 14 Computational Creativity and Grammatical Evolution.- 15 Grammatical Evolution in the Prediction of Glucose for Diabetes.- 16 Genomics.- 17 Grammatical Evolution with Coevolutionary Algorithms in Cybersecurity.- 18 Evolving Behavior Trees with Grammatical Evolution for Platform Games.- 19 Patient Recruitment in Multicentre Clinical Trials.
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