Revised Report on the Algorithmic Language Algol 68, A. van Wijngaarden; B.J. Mailloux; J.E.L. Peck; C.
Автор: Klaus P. Jantke; Takeshi Shinohara; Thomas Zeugman Название: Algorithmic Learning Theory ISBN: 3540604545 ISBN-13(EAN): 9783540604549 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These conference proceedings cover current areas related to algorithmic learning theory, in particular the theory of machine learning, design and analysis of learning algorithms, computational logic aspects, inductive inference, learning via queries, and pattern recognition.
Автор: Mikhail Klin; Gareth A. Jones; Aleksandar Jurisic; Название: Algorithmic Algebraic Combinatorics and Gr?bner Bases ISBN: 3642424384 ISBN-13(EAN): 9783642424380 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of tutorial and research papers introduces readers to diverse areas of modern pure and applied algebraic combinatorics and finite geometries. There is special emphasis on algorithmic aspects and the use of the theory of Grobner bases.
Описание: The papers gathered in this book were published over a period of more than twenty years in widely scattered journals. They led to the discovery of randomness in arithmetic which was presented in the recently published monograph on "Algorithmic Information Theory" by the author. There the strongest possible version of G del's incompleteness theorem, using an information-theoretic approach based on the size of computer programs, was discussed. The present book is intended as a companion volume to the monograph and it will serve as a stimulus for work on complexity, randomness and unpredictability, in physics and biology as well as in metamathematics.
Автор: Ioannis Karydis; Spyros Sioutas; Peter Triantafill Название: Algorithmic Aspects of Cloud Computing ISBN: 3319299182 ISBN-13(EAN): 9783319299181 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Tutorials.- Algorithmic Aspects of Large-Scale Data Stores.- Software Tools and Distributed Architectures for Cloud-based Data Management.
Автор: Martin Hoefer Название: Algorithmic Game Theory ISBN: 3662484323 ISBN-13(EAN): 9783662484326 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Symposium on Algorithmic Game Theory, SAGT 2015, held in Saarbrucken, Germany, in September 2015. The 22 full papers presented together with one extended abstract and 6 brief announcements were carefully reviewed and selected from 63 submissions.
Автор: Shuji Doshita; Koichi Furukawa; Klaus P. Jantke; T Название: Algorithmic Learning Theory - ALT `92 ISBN: 3540573690 ISBN-13(EAN): 9783540573692 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the research papers presented at the 3rd Workshop on Algorithmic Learning Theory, held in Tokyo, Japan, in October 1992. It is organized into sections on neural networks, learning via query, inductive inference, analogical reasoning and approximate learning.
Автор: Setsuo Arikawa; Klaus P. Jantke Название: Algorithmic Learning Theory ISBN: 3540585206 ISBN-13(EAN): 9783540585206 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a number of research papers on current aspects of computational learning theory. The contributors focus on algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning and formal language learning.
Автор: Ulrich Faigle; W. Kern; G. Still Название: Algorithmic Principles of Mathematical Programming ISBN: 9048161177 ISBN-13(EAN): 9789048161171 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature. The book is equally suited for self-study for a motivated beginner and for a comprehensive course on the principles of mathematical programming within an applied mathematics or computer science curriculum at advanced undergraduate or graduate level. The presentation of the material is such that smaller modules on discrete optimization, linear programming, and nonlinear optimization can easily be extracted separately and used for shorter specialized courses on these subjects.
Автор: Klaus P. Jantke; Shigenobu Kobayashi; Etsuji Tomit Название: Algorithmic Learning Theory ISBN: 3540573704 ISBN-13(EAN): 9783540573708 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. It is organized into parts on inductive logic and inference; approximate learning; query learning; explanation-based learning; and new learning paradigms.
Автор: Moulay Barkatou; Thomas Cluzeau; Georg Regensburge Название: Algebraic and Algorithmic Aspects of Differential and Integral Operators ISBN: 3642544789 ISBN-13(EAN): 9783642544781 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constructions of Free Commutative Integro-Differential Algebras.- Basic Module Theory over Non-commutative Rings with Computational Aspects of Operator Algebras.- Operational Calculi for Nonlocal Cauchy Problems in Resonance Cases.- Intertwining Laplace Transformations of Linear Partial Differential Equations.- Composing and Factoring Generalized Green's Operators and Ordinary Boundary Problems.- Relativistic Coulomb Integrals and Zeilberger's Holonomic Systems Approach II.- Multivariate Dimension Polynomials of Inversive Difference Field Extensions.- Differential (Monoid) Algebra and More.- Exact Solution of Local and Nonlocal BVPs for the Laplace Equation in a Rectangle.
Автор: Michael M. Richter; Carl H. Smith; Rolf Wiehagen; Название: Algorithmic Learning Theory ISBN: 354065013X ISBN-13(EAN): 9783540650133 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of papers from the 9th International Conference on Algorithmic Learning Theory. They are organized in sections on inductive logic programming and data mining, inductive inference, learning via queries, prediction algorithms, inductive logic programming and learning formal languages.
Автор: Sanjay Jain; R?mi Munos; Frank Stephan; Thomas Zeu Название: Algorithmic Learning Theory ISBN: 3642409342 ISBN-13(EAN): 9783642409349 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013.
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