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Algorithmic Learning Theory, Peter Auer; Alexander Clark; Thomas Zeugmann; Sand


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Автор: Peter Auer; Alexander Clark; Thomas Zeugmann; Sand
Название:  Algorithmic Learning Theory
ISBN: 9783319116617
Издательство: Springer
Классификация: ISBN-10: 3319116614
Обложка/Формат: Paperback
Страницы: 351
Вес: 0.52 кг.
Дата издания: 23.09.2014
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 20
Основная тема: Computer Science
Подзаголовок: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Inductive Inference.- Exact Learning from Queries.- Reinforcement Learning.- Online Learning and Learning with Bandit Information.- Statistical Learning Theory.- Privacy, Clustering, MDL, and Kolmogorov Complexity.




Common Surgical Diseases  An Algorithmic Approach to Problem Solving

Автор: Theodore J. Saclarides, Jonathan A. Myers, Keith
Название: Common Surgical Diseases An Algorithmic Approach to Problem Solving
ISBN: 1493915649 ISBN-13(EAN): 9781493915644
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Written by leaders in the field, the third edition of Common Surgical Diseases: An Algorithmic Approach to Problem Solving, provides surgical residents and medical students with a current, concise and algorithmic approach to frequently encountered clinical challenges.

Frontiers in Algorithmics and Algorithmic Aspects in Information and Management

Автор: Michael Fellows; Xuehou Tan; Binhai Zhu
Название: Frontiers in Algorithmics and Algorithmic Aspects in Information and Management
ISBN: 3642387551 ISBN-13(EAN): 9783642387555
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

The Square Root Phenomenon in Planar Graphs.- An Algorithm for Determining Whether a Pair of Polygons Is Reversible.- Disjoint Small Cycles in Graphs and Bipartite Graphs.- An Algorithm for Listing All Minimal 2-Dominating Sets of a Tree.- Algorithms for Testing Length Four Permutations.- Partial Degree Bounded Edge Packing Problem with Arbitrary Bounds.- Faster Exact Computation of rSPR Distance.- Arbitrated Quantum Signature Schemes: Attacks and Security.- Randomized Algorithms for Removable Online Knapsack Problems.- An Exact Algorithm for Maximum Independent Set in Degree-5 Graphs.- FWLS: A Local Search for Graph Coloring.- A One-Vertex Decomposition Algorithm for Generating Algebraic Expressions of Square Rhomboids.- Monomial Testing and Applications.- The Optimal Rescue Path Set Problem in Undirected Graphs.- Expected Computations on Color Spanning Sets.- Independent Domination: Reductions from Circular- and Triad-Convex Bipartite Graphs to Convex Bipartite Graphs.- Spanning Distribution Trees of Graphs.- A Cutting Plane Heuristic Algorithm for the Time Dependent Chinese Postman Problem.- Zero-Visibility Cops and Robber Game on a Graph.- On (k, l)-Graph Sandwich Problems.- Fixed-Parameter Tractability of Workflow Satisfiability in the Presence of Seniority Constraints.- Two-Round Discrete Voronoi Game along a Line.- Inverse Maximum Flow Problems under the Combining Norms.- The Edge-Recoloring Cost of Paths and Cycles in Edge-Colored Graphs and Digraphs.- A Cost-Efficient Scheduling Algorithm for Traffic Grooming.- Strategies of Groups Evacuation from a Convex Region in the Plane.- Kernelization and Lower Bounds of the Signed Domination Problem.- On Edge-Independent Sets.- On the Complexity of Approximate Sum of Sorted List.- Large Hypertree Width for Sparse Random Hypergraphs.- On Perfect Absorbants in De Bruijn Digraphs.- Multi-Multiway Cut Problem on Graphs of Bounded Branch Width.- Bi-criteria Scheduling on Multiple Machines Subject to Machine Availability Constraints.- Zero-Sum Flow Numbers of Hexagonal Grids.- Pattern-Guided k-Anonymity.

Induction, Algorithmic Learning Theory, and Philosophy

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
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Цена: 27251.00 р.
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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.

Algorithmic Learning Theory

Автор: Klaus P. Jantke; Shigenobu Kobayashi; Etsuji Tomit
Название: Algorithmic Learning Theory
ISBN: 3540573704 ISBN-13(EAN): 9783540573708
Издательство: Springer
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Цена: 12157.00 р.
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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.

Algorithmic Learning Theory

Автор: Ming Li; Akira Maruoka
Название: Algorithmic Learning Theory
ISBN: 3540635777 ISBN-13(EAN): 9783540635772
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This proceedings volume presents 26 revised full papers and three invited papers. Among the topics addressed are PAC learning, learning algorithms, inductive learning, inductive inference, decision procedures, language learning, and game theoretical aspects of computational learning theory.

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.

Algorithmic Learning Theory - ALT `92

Автор: Shuji Doshita; Koichi Furukawa; Klaus P. Jantke; T
Название: Algorithmic Learning Theory - ALT `92
ISBN: 3540573690 ISBN-13(EAN): 9783540573692
Издательство: Springer
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Цена: 9781.00 р.
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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.

Algorithmic Learning Theory

Автор: Klaus P. Jantke; Takeshi Shinohara; Thomas Zeugman
Название: Algorithmic Learning Theory
ISBN: 3540604545 ISBN-13(EAN): 9783540604549
Издательство: Springer
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Цена: 9781.00 р.
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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.

Algorithmic Learning Theory

Автор: Yoav Freund; L?szl? Gy?rfi; Gy?rgy Tur?n; Thomas Z
Название: Algorithmic Learning Theory
ISBN: 3540879862 ISBN-13(EAN): 9783540879862
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Constitutes the proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. This book includes the papers that are dedicated to the theoretical foundations of machine learning.

Algorithmic Learning Theory

Автор: Setsuo Arikawa; Arun K. Sharma
Название: Algorithmic Learning Theory
ISBN: 3540618635 ISBN-13(EAN): 9783540618638
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Covering all areas related to algorithmic learning theory (ALT), ranging from theoretical foundations of machine learning to applications in several areas, this text presents papers from a workshop held on ALT in Sydney, in October 1996.

Algorithmic Learning Theory

Автор: Ortner
Название: Algorithmic Learning Theory
ISBN: 3319463780 ISBN-13(EAN): 9783319463780
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. statistical learning, theory, evolvability; exact and interactive learning;

Algorithmic Learning Theory

Автор: Sanjay Jain; R?mi Munos; Frank Stephan; Thomas Zeu
Название: Algorithmic Learning Theory
ISBN: 3642409342 ISBN-13(EAN): 9783642409349
Издательство: Springer
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Цена: 6986.00 р.
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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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