Algorithmic Learning Theory, Klaus P. Jantke; Shigenobu Kobayashi; Etsuji Tomit
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: Gairing Название: Algorithmic Game Theory ISBN: 3662533537 ISBN-13(EAN): 9783662533536 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 9th International Symposium on Algorithmic Game Theory, SAGT 2016, held in Liverpool, UK, in September 2016.
The 26 full papers presented together with 2 one-page abstracts were carefully reviewed and selected from 62 submissions.
The accepted submissions cover various important aspects
of algorithmic game theory such as computational aspects of games, congestion games and networks, matching and voting, auctions and markets, and mechanism design.
Автор: Mich?le Friend; Norma B. Goethe; Valentina S. Hari Название: Induction, Algorithmic Learning Theory, and Philosophy ISBN: 9048175445 ISBN-13(EAN): 9789048175444 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference.
Автор: Mich?le Friend; Norma B. Goethe; Valentina S. Hari Название: Induction, Algorithmic Learning Theory, and Philosophy ISBN: 1402061269 ISBN-13(EAN): 9781402061264 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Includes essays that provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic of algorithmic learning theory and the epistemology of science, both from a philosophical and a mathematical viewpoint.
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: 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: 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.
Автор: Klaus P. Jantke; Steffen Lange Название: Algorithmic Learning for Knowledge-Based Systems ISBN: 3540602178 ISBN-13(EAN): 9783540602170 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the final report on a basic research project (GOSLER) on algorithmic learning for knowledge-based systems. The project focused on the study of fundamental learnability problems integrating theoretical research with the development of tools and experimental investigation.
Автор: Marios Mavronicolas; Maria Papadoupoulou Название: Algorithmic Game Theory ISBN: 3642046444 ISBN-13(EAN): 9783642046445 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the papers presented at the Second International Sym- sium on Algorithmic Game Theory (SAGT 2009), which was held on October 18-20, 2009, in Paphos, Cyprus. This event followed the ?rst, very successful SAGT symposium, which took place in Paderborn, Germany, last year. The purpose of SAGT is to bring together researchers from computer s- ence, economics and mathematics to present and discuss originalresearchat the intersection of algorithms and game theory. It has been intended to cover all important areas such as solution concepts, game classes, computation of equil- riaandmarketequilibria, algorithmicmechanismdesign, automatedmechanism design, convergenceandlearningingames, complexityclassesingametheory, - gorithmicaspectsof?xed-pointtheorems, mechanisms, incentivesandcoalitions, cost-sharing algorithms, computational problems in economics, ?nance, decision theory and pricing, computational social choice, auction algorithms, price of - archyand its relatives, representationsof games and their complexity, economic aspects of distributed computing and the internet, congestion, routing and n- work design and formation games and game-theoretic approaches to networking problems. Approximately55submissionstoSAGT2009 werereceived.Eachsubmission was reviewed by at least three Program Committee members. The Program Committee decided to accept 29 papers. Out of these, a small number will be invited to a Special Issue of the Theory of Computing Systems journal with selected papers from SAGT 2009. The program of SAGT 2009 featured three invited talks from three outstanding researchers in algorithmic game theory: Elias Koutsoupias, Dov Monderer and Mihalis Yannakakis. We are very grateful toElias, DovandMihalisforjoiningusinPaphosandfortheirexcellentlectures.
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.
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