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Algorithmic Decision Theory, Toby Walsh


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Автор: Toby Walsh
Название:  Algorithmic Decision Theory
ISBN: 9783319231136
Издательство: Springer
Классификация:



ISBN-10: 3319231138
Обложка/Формат: Paperback
Страницы: 594
Вес: 0.84 кг.
Дата издания: 14.09.2015
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 31
Основная тема: Computer Science
Подзаголовок: 4th International Conference, ADT 2015, Lexington, KY, USA, September 27-30, 2015, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA. The 32 full papers presented were carefully selected from 76 submissions. The papers are organized in topical sections such as preferences;


Algorithmic Decision Theory

Автор: Francesca Rossi; Alexis Tsoukias
Название: Algorithmic Decision Theory
ISBN: 3642044271 ISBN-13(EAN): 9783642044274
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This volume contains the papers presented at ADT 2009, the first International Conference on Algorithmic Decision Theory. The conference received 65 submissions of which 39 papers were accepted (9 papers were posters).

Algorithmic Learning Theory

Автор: Ricard Gavalda; Gabor Lugosi; Thomas Zeugmann; San
Название: Algorithmic Learning Theory
ISBN: 3642044131 ISBN-13(EAN): 9783642044137
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.

Twenty Lectures on Algorithmic Game Theory

Автор: Roughgarden
Название: Twenty Lectures on Algorithmic Game Theory
ISBN: 131662479X ISBN-13(EAN): 9781316624791
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchange, and network management.

Algorithmic Learning Theory

Автор: Kamalika Chaudhuri; CLAUDIO GENTILE; Sandra Zilles
Название: Algorithmic Learning Theory
ISBN: 331924485X ISBN-13(EAN): 9783319244853
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015.

Algorithmic Game Theory

Автор: Edited by Noam Nisan
Название: Algorithmic Game Theory
ISBN: 0521872820 ISBN-13(EAN): 9780521872829
Издательство: Cambridge Academ
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Цена: 9821.00 р.
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Описание: More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security.

Algorithmic Decision Theory

Автор: J?rg Rothe
Название: Algorithmic Decision Theory
ISBN: 3319675036 ISBN-13(EAN): 9783319675039
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book constitutes the conference proceedings of the 5th International Conference on Algorithmic Decision Theory , ADT 2017, held in Luxembourg, in October 2017.The 22 full papers presented together with 6 short papers, 4 keynote abstracts, and 6 Doctoral Consortium papers, were carefully selected from 45 submissions.

Algorithmic Game Theory

Автор: Marios Mavronicolas; Maria Papadoupoulou
Название: Algorithmic Game Theory
ISBN: 3642046444 ISBN-13(EAN): 9783642046445
Издательство: Springer
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Цена: 10480.00 р.
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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.

Twenty Lectures on Algorithmic Game Theory

Автор: Roughgarden
Название: Twenty Lectures on Algorithmic Game Theory
ISBN: 1107172667 ISBN-13(EAN): 9781107172661
Издательство: Cambridge Academ
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Цена: 12197.00 р.
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Описание: This book gives students a quick and accessible introduction to many of the most important concepts in the field of algorithmic game theory. It demonstrates these concepts through case studies in online advertising, wireless spectrum auctions, kidney exchange, and network management.

Algorithmic Game Theory

Автор: Gairing
Название: Algorithmic Game Theory
ISBN: 3662533537 ISBN-13(EAN): 9783662533536
Издательство: Springer
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Цена: 8106.00 р.
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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.
Algorithmic Game Theory

Автор: Martin Hoefer
Название: Algorithmic Game Theory
ISBN: 3662484323 ISBN-13(EAN): 9783662484326
Издательство: Springer
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Цена: 6708.00 р.
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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.

Algorithmic Learning Theory

Автор: Nicol? Cesa-Bianchi; Masayuki Numao; R?diger Reisc
Название: Algorithmic Learning Theory
ISBN: 3540001700 ISBN-13(EAN): 9783540001706
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Compiled from the proceedings of the 13th International Conference on Algorithmic Learning Theory, this volume contains 31 papers. Coverage includes Boolean functions, boosting and margin-based learning, learning with queries, learning and information extraction, and inductive inference.

Algorithmic Learning Theory

Автор: Hiroki Arimura; Sanjay Jain; Arun Sharma
Название: Algorithmic Learning Theory
ISBN: 3540412379 ISBN-13(EAN): 9783540412373
Издательство: Springer
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Цена: 9781.00 р.
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Описание: These papers on algorithmic learning theory are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.


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