Computer and Information Sciences II
Computer and Information Sciences II

Author: Erol Gelenbe

Publisher: Springer Science & Business Media

Published: 2011-09-30

Total Pages: 526

ISBN-13: 1447121554

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Information technology is the enabling foundation for all of human activity at the beginning of the 21st century, and advances in this area are crucial to all of us. These advances are taking place all over the world and can only be followed and perceived when researchers from all over the world assemble, and exchange their ideas in conferences such as the one presented in this proceedings volume regarding the 26th International Symposium on Computer and Information Systems, held at the Royal Society in London on 26th to 28th September 2011. Computer and Information Sciences II contains novel advances in the state of the art covering applied research in electrical and computer engineering and computer science, across the broad area of information technology. It provides access to the main innovative activities in research across the world, and points to the results obtained recently by some of the most active teams in both Europe and Asia.

Formal Languages and Applications
Formal Languages and Applications

Author: Carlos Martin-Vide

Publisher: Springer

Published: 2013-03-09

Total Pages: 612

ISBN-13: 3540398864

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Formal Languages and Applications provides a comprehensive study-aid and self-tutorial for graduates students and researchers. The main results and techniques are presented in an readily accessible manner and accompanied by many references and directions for further research. This carefully edited monograph is intended to be the gateway to formal language theory and its applications, so it is very useful as a review and reference source of information in formal language theory.

Algorithmic Learning Theory
Algorithmic Learning Theory

Author: Ricard Gavalda

Publisher: Springer Science & Business Media

Published: 2003-10-07

Total Pages: 325

ISBN-13: 3540202919

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This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003. The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.

Combinatorics, Algorithms, Probabilistic and Experimental Methodologies
Combinatorics, Algorithms, Probabilistic and Experimental Methodologies

Author: Bo Chen

Publisher: Springer Science & Business Media

Published: 2007-09-28

Total Pages: 540

ISBN-13: 3540744495

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The First International Symposium on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies was held in Hangzhou, China, in April 2007. The symposium provided an interdisciplinary forum for researchers to share their discoveries and approaches; search for ideas, methodologies, and tool boxes; find better, faster, and more accurate solutions; and develop a research agenda of common interest. This volume constitutes the refereed post-proceedings of the symposium. Inside you'll find 46 full papers. They represent some of the most important thinking and advancements in the field. The papers address large data processing problems using different methodologies from major disciplines such as computer science, combinatorics, and statistics.

Algorithmic Learning Theory
Algorithmic Learning Theory

Author: José L. Balcázar

Publisher: Springer

Published: 2006-10-05

Total Pages: 405

ISBN-13: 3540466509

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This book constitutes the refereed proceedings of the 17th International Conference on Algorithmic Learning Theory, ALT 2006, held in Barcelona, Spain in October 2006, colocated with the 9th International Conference on Discovery Science, DS 2006. The 24 revised full papers presented together with the abstracts of five invited papers were carefully reviewed and selected from 53 submissions. The papers are dedicated to the theoretical foundations of machine learning.

Algorithmic Learning Theory
Algorithmic Learning Theory

Author: Ronald Ortner

Publisher: Springer

Published: 2016-10-12

Total Pages: 382

ISBN-13: 3319463799

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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. The 24 regular papers presented in this volume were carefully reviewed and selected from 45 submissions. In addition the book contains 5 abstracts of invited talks. The papers are organized in topical sections named: error bounds, sample compression schemes; statistical learning, theory, evolvability; exact and interactive learning; complexity of teaching models; inductive inference; online learning; bandits and reinforcement learning; and clustering.