Algorithmic Learning Theory

Algorithmic Learning Theory PDF
Author: Shai Ben David
Publisher: Springer Science & Business Media
ISBN: 3540233563
Size: 28.48 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 514
View: 4945

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Algorithmic Learning Theory

by Shai Ben David, Algorithmic Learning Theory Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory books, Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning,LogicBasedLearning,andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.


Algorithmic Learning Theory

Algorithmic Learning Theory PDF
Author: Hiroki Arimura
Publisher: Springer Science & Business Media
ISBN: 3540412379
Size: 40.78 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 348
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Algorithmic Learning Theory

by Hiroki Arimura, Algorithmic Learning Theory Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory books, This book constitutes the refereed proceedings of the 11th International Conference on Algorithmic Learning Theory, ALT 2000, held in Sydney, Australia in December 2000. The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers 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

Algorithmic Learning Theory PDF
Author: Yoav Freund
Publisher: Springer Science & Business Media
ISBN: 3540879862
Size: 58.10 MB
Format: PDF
Category : Computers
Languages : en
Pages : 467
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Algorithmic Learning Theory

by Yoav Freund, Algorithmic Learning Theory Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory books, This book constitutes the refereed 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. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.


Algorithmic Learning Theory

Algorithmic Learning Theory PDF
Author: Osamu Watanabe
Publisher: Springer Science & Business Media
ISBN: 3540667482
Size: 39.93 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 363
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Algorithmic Learning Theory

by Osamu Watanabe, Algorithmic Learning Theory Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory books, This book constitutes the refereed proceedings of the 10th International Conference on Algorithmic Learning Theory, ALT'99, held in Tokyo, Japan, in December 1999. The 26 full papers presented were carefully reviewed and selected from a total of 51 submissions. Also included are three invited papers. The papers are organized in sections on Learning Dimension, Inductive Inference, Inductive Logic Programming, PAC Learning, Mathematical Tools for Learning, Learning Recursive Functions, Query Learning and On-Line Learning.


Algorithmic Learning Theory Ii

Algorithmic Learning Theory II PDF
Author: Setsuo Arikawa
Publisher: IOS Press
ISBN: 9789051990881
Size: 63.70 MB
Format: PDF, Docs
Category : Algorithms
Languages : en
Pages : 307
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Algorithmic Learning Theory Ii

by Setsuo Arikawa, Algorithmic Learning Theory Ii Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory Ii books, In recent years it has been recognized that learning ability would be indispensable to further new development of intelligent computer software and information systems. The need for new logical tools in learning theory and machine learning is also broadly acknowledged.


Algorithmic Learning Theory

Algorithmic Learning Theory PDF
Author: José L. Balcázar
Publisher: Springer Science & Business Media
ISBN: 3540466495
Size: 54.27 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 393
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Algorithmic Learning Theory

by José L. Balcázar, Algorithmic Learning Theory Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory books, 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 PDF
Author: Michael M. Richter
Publisher: Springer
ISBN: 3540497307
Size: 47.43 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 444
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Algorithmic Learning Theory

by Michael M. Richter, Algorithmic Learning Theory Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory books, This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ ̈aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.


Induction Algorithmic Learning Theory And Philosophy

Induction  Algorithmic Learning Theory  and Philosophy PDF
Author: Michèle Friend
Publisher: Springer Science & Business Media
ISBN: 1402061277
Size: 65.97 MB
Format: PDF, Mobi
Category : Philosophy
Languages : en
Pages : 290
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Induction Algorithmic Learning Theory And Philosophy

by Michèle Friend, Induction Algorithmic Learning Theory And Philosophy Books available in PDF, EPUB, Mobi Format. Download Induction Algorithmic Learning Theory And Philosophy books, 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. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint.


Algorithmic Learning Theory

Algorithmic Learning Theory PDF
Author: Ricard Gavaldà
Publisher: Springer Science & Business Media
ISBN: 3642044131
Size: 32.78 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 399
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Algorithmic Learning Theory

by Ricard Gavaldà, Algorithmic Learning Theory Books available in PDF, EPUB, Mobi Format. Download Algorithmic Learning Theory books, As intelligent autonomous agents and multiagent system applications become more pervasive, it becomes increasingly important to understand the risks associated with using these systems. Incorrect or inappropriate agent behavior can have harmful - fects, including financial cost, loss of data, and injury to humans or systems. For - ample, NASA has proposed missions where multiagent systems, working in space or on other planets, will need to do their own reasoning about safety issues that concern not only themselves but also that of their mission. Likewise, industry is interested in agent systems that can search for new supply opportunities and engage in (semi-) automated negotiations over new supply contracts. These systems should be able to securely negotiate such arrangements and decide which credentials can be requested and which credentials may be disclosed. Such systems may encounter environments that are only partially understood and where they must learn for themselves which aspects of their environment are safe and which are dangerous. Thus, security and safety are two central issues when developing and deploying such systems. We refer to a multiagent system s security as the ability of the system to deal with threats that are intentionally caused by other intelligent agents and/or s- tems, and the system s safety as its ability to deal with any other threats to its goals."