The Resource Algorithmic learning theory : 11th international conference, ALT 2000 Sydney, Australia, December 11-13, 2000, proceedings, Hiroki Arimura, Sanjay Jain, Arun Sharma (eds.), (electronic resource)

Algorithmic learning theory : 11th international conference, ALT 2000 Sydney, Australia, December 11-13, 2000, proceedings, Hiroki Arimura, Sanjay Jain, Arun Sharma (eds.), (electronic resource)

Label
Algorithmic learning theory : 11th international conference, ALT 2000 Sydney, Australia, December 11-13, 2000, proceedings
Title
Algorithmic learning theory
Title remainder
11th international conference, ALT 2000 Sydney, Australia, December 11-13, 2000, proceedings
Statement of responsibility
Hiroki Arimura, Sanjay Jain, Arun Sharma (eds.)
Creator
Contributor
Subject
Genre
Language
eng
Summary
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
Member of
Cataloging source
COO
Dewey number
006.3/1
Illustrations
illustrations
Index
index present
LC call number
QA76.9.A43
LC item number
A48 2000
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2000
http://bibfra.me/vocab/lite/meetingName
ALT 2000
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1965-
  • 1965 February 22-
  • 1962-
http://library.link/vocab/relatedWorkOrContributorName
  • Arimura, Hiroki
  • Jain, Sanjay
  • Sharma, Arun K.
Series statement
  • Lecture notes in computer science
  • Lecture notes in artificial intelligence
Series volume
1968.
http://library.link/vocab/subjectName
  • Computer algorithms
  • Machine learning
  • Computer algorithms
  • Machine learning
Label
Algorithmic learning theory : 11th international conference, ALT 2000 Sydney, Australia, December 11-13, 2000, proceedings, Hiroki Arimura, Sanjay Jain, Arun Sharma (eds.), (electronic resource)
Link
http://dx.doi.org/10.1007/3-540-40992-0
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online bron
Carrier category code
cr
Carrier MARC source
rdacarrier/dut
Content category
tekst
Content type code
txt
Content type MARC source
rdacontent/dut
Contents
Extracting information from the web for concept learning and collaborative filtering / William W. Cohen -- Divide-and-conquer manifesto / Thomas G. Dietterich -- Sequential sampling techniques for algorithmic learning theory / Osamu Watanabe -- Statistical learning -- Towards and algorithmic statistics / Peter Gács. John Tromp, and Paul Vitányi -- Minimum message length grouping of ordered data / Leigh J. Fitzgibbon, Lloyd Allison, and David L. Dowe -- Learning from positive and unlabeled examples / Fabien Letouzey, François Denis, and Rémi Gilleron -- Inductive inference -- Learning erasing pattern languages with queries / Jochen Nessel and Steffen Lange -- Learning recursive concepts with anomalies / Gunter Grieser, Steffen Lange, and Thomas Zeugmann -- Identification of function distinguishable languages / Henning Fernau -- Probabilistic identification result / Eric McCreath -- ILP -- New framework for discovering knowledge from two-dimensional structured data using layout formal graph system / Tomoyuki Uchida ... [et al.] -- Hypotheses finding via residue hypotheses with the resolution principle / Akihiro Yamamoto and Bertram Fronhöfer -- Conceptual classifications guided by a concept hierarchy / Yuhsuke Itoh and Makoto Haraguchi -- Learning taxonomic relation by case-based reasoning / Ken Satoh -- Complexity -- Averge-case analysis of classification algorithms for boolean functions and decision trees / Tobias Scheffer -- Self-duality of bounded monotone boolean functions and related problems / Daya Ram Gaur and Ramesh Krishnamurti -- Sharper bounds for the hardness of prototype and feature selection / Richard Nock and Marc Sebban -- On the hardness of learning acyclic conjunctive queries / Kouichi Hirata -- Neural network and other paradigms -- Dynamic hand gesture recognition based on randomized self-organizing map algorithm / Tarek El. Tobely ... [et al.] -- On approximate learning by multi-layered feedforward circuits / Bhaskar DasDupta and barbara Hammer -- Last-step minimax algorithm / Eiji Takimoto and Manfred K. Warmuth -- Rough sets and ordinal classification / Jan C. Bioch and Viara Popova -- Support vector machines -- Note on the generation performance of kernel classifiers with margin / Theodoros Evgeniou and Massimiliano Pontil -- On the noise model of support vector machines regression / Massimiliano Pontil, Sayan Mukherjee, and Federico Girosi -- Computationally efficient transductive machines / Craig Saunders, Alexander Gammerman, and Volodya Vovk
Dimensions
unknown
Extent
1 online resource (xi, 333 p.)
Form of item
online
Isbn
9783540409922
Isbn Type
(electronic bk.)
Media category
computer
Media MARC source
rdamedia/dut
Media type code
c
Other physical details
ill.
Specific material designation
remote
System control number
  • (OCoLC)213932871
  • (OCoLC)ocn213932871
Label
Algorithmic learning theory : 11th international conference, ALT 2000 Sydney, Australia, December 11-13, 2000, proceedings, Hiroki Arimura, Sanjay Jain, Arun Sharma (eds.), (electronic resource)
Link
http://dx.doi.org/10.1007/3-540-40992-0
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online bron
Carrier category code
cr
Carrier MARC source
rdacarrier/dut
Content category
tekst
Content type code
txt
Content type MARC source
rdacontent/dut
Contents
Extracting information from the web for concept learning and collaborative filtering / William W. Cohen -- Divide-and-conquer manifesto / Thomas G. Dietterich -- Sequential sampling techniques for algorithmic learning theory / Osamu Watanabe -- Statistical learning -- Towards and algorithmic statistics / Peter Gács. John Tromp, and Paul Vitányi -- Minimum message length grouping of ordered data / Leigh J. Fitzgibbon, Lloyd Allison, and David L. Dowe -- Learning from positive and unlabeled examples / Fabien Letouzey, François Denis, and Rémi Gilleron -- Inductive inference -- Learning erasing pattern languages with queries / Jochen Nessel and Steffen Lange -- Learning recursive concepts with anomalies / Gunter Grieser, Steffen Lange, and Thomas Zeugmann -- Identification of function distinguishable languages / Henning Fernau -- Probabilistic identification result / Eric McCreath -- ILP -- New framework for discovering knowledge from two-dimensional structured data using layout formal graph system / Tomoyuki Uchida ... [et al.] -- Hypotheses finding via residue hypotheses with the resolution principle / Akihiro Yamamoto and Bertram Fronhöfer -- Conceptual classifications guided by a concept hierarchy / Yuhsuke Itoh and Makoto Haraguchi -- Learning taxonomic relation by case-based reasoning / Ken Satoh -- Complexity -- Averge-case analysis of classification algorithms for boolean functions and decision trees / Tobias Scheffer -- Self-duality of bounded monotone boolean functions and related problems / Daya Ram Gaur and Ramesh Krishnamurti -- Sharper bounds for the hardness of prototype and feature selection / Richard Nock and Marc Sebban -- On the hardness of learning acyclic conjunctive queries / Kouichi Hirata -- Neural network and other paradigms -- Dynamic hand gesture recognition based on randomized self-organizing map algorithm / Tarek El. Tobely ... [et al.] -- On approximate learning by multi-layered feedforward circuits / Bhaskar DasDupta and barbara Hammer -- Last-step minimax algorithm / Eiji Takimoto and Manfred K. Warmuth -- Rough sets and ordinal classification / Jan C. Bioch and Viara Popova -- Support vector machines -- Note on the generation performance of kernel classifiers with margin / Theodoros Evgeniou and Massimiliano Pontil -- On the noise model of support vector machines regression / Massimiliano Pontil, Sayan Mukherjee, and Federico Girosi -- Computationally efficient transductive machines / Craig Saunders, Alexander Gammerman, and Volodya Vovk
Dimensions
unknown
Extent
1 online resource (xi, 333 p.)
Form of item
online
Isbn
9783540409922
Isbn Type
(electronic bk.)
Media category
computer
Media MARC source
rdamedia/dut
Media type code
c
Other physical details
ill.
Specific material designation
remote
System control number
  • (OCoLC)213932871
  • (OCoLC)ocn213932871

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