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1.

図書
図書
1. Advanced lectures on machine learning : Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002 : revised lectures
Shahar Mendelson, Alexander J. Smola (eds.)
出版情報: Berlin ; Tokyo : Springer, c2003  257 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2600 . Lecture notes in artificial intelligence
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2.

図書
図書
2. Learning classifier systems : from foundations to applications
Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (eds.)
出版情報: Berlin : Springer, c2000  x, 347 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1813 . Lecture notes in artificial intelligence
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3.

図書
図書
3. Intelligence : the eye, the brain, and the computer
Martin A. Fischler, Oscar Firschein
出版情報: Reading, Mass. ; Tokyo : Addison-Wesley, c1987  xiv, 331 p. ; 25 cm
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4.

図書
図書
4. Machine learning : an artificial intelligence approach (: gw ; : us)
edited by R.S. Michalski, J.G. Carbonell, T.M. Mitchell
出版情報: Berlin : Springer, 1984  xi, 572 p. ; 25 cm
シリーズ名: Symbolic computation
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5.

図書
図書
5. Machine learning : an artificial intelligence approach
contributing authors, John Anderson ... [et al.] ; editors, Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell
出版情報: Palo Alto, Calif. : Tioga Pub. Co., c1983  xi, 572 p. ; 24 cm
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6.

図書
図書
6. Pattern recognition and machine learning : proceedings of the Japan-U.S. Seminar on the Learning Process in Control Systems, held in Nagoya, Japan, August 18-20, 1970
edited by K.S. Fu
出版情報: New York : Plenum Press, 1971  ix, 343 p. ; 26 cm
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7.

図書
図書
7. Planning and learning by analogical reasoning
Manuela M. Veloso
出版情報: Berlin ; New York : Springer-Verlag, c1994  xiii, 181 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 886 . Lecture notes in artificial intelligence
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8.

図書
図書
8. Learning classifier systems : 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002 : revised papers
Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (eds.)
出版情報: Berlin ; Tokyo : Springer, c2003  229 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2661 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Balancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier System / William N.L. Browne
A Ruleset Reduction Algorithm for the XCS Learning Classifier System / Phillip William Dixon ; Dawid Wolfe Corne ; Martin John Oates
Adapted Pittsburgh-Style Classifier-System: Case-Study / Gilles Enée ; Pierre Barbaroux
The Effect of Missing Data on Learning Classifier System Learning Rate and Classification Performance / John H. Holmes ; Warren B. Bilker
XCS's Strength-Based Twin: Part I / Tim Kovacs
XCS's Strength-Based Twin: Part II
Further Comparison between ATNoSFERES and XCSM / Samuel Landau ; Sébastien Picault ; Olivier Sigaud ; Pierre Gérard
Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection / Xavier Llorà ; David E. Goldberg ; Ivan Traus ; Ester Bernadó
Anticipatory Classifier System Using Behavioral Sequences in Non-Markov Environments / Marc Métivier ; Claude Lattaud
Mapping Artificial Immune Systems into Learning Classifier Systems / Patrícia A. Vargas ; Leandro N. de Castro ; Fernando J. Von Zuben
The 2003 Learning Classifier Systems Bibliography
Author Index
Balancing Specificity and Generality in a Panmictic-Based Rule-Discovery Learning Classifier System / William N.L. Browne
A Ruleset Reduction Algorithm for the XCS Learning Classifier System / Phillip William Dixon ; Dawid Wolfe Corne ; Martin John Oates
Adapted Pittsburgh-Style Classifier-System: Case-Study / Gilles Enée ; Pierre Barbaroux
9.

図書
図書
9. Advances in learning classifier systems : 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 : revised papers
Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson (eds.)
出版情報: Berlin ; Tokyo : Springer, c2002  viii, 229 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2321 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Theory / I：
Biasing Exploration in an Anticipatory Learning Classifier System / Martin V. Butz
An Incremental Multiplexer Problem and Its Uses in Classifier System
Research / Lawrence Davis ; Chunsheng Fu ; Stewart W. Wilson
A Minimal Model of Communication for a Multi-agent Classifier System / Gilles Enée ; Cathy Escazut
A Representation for Accuracy-Based Assessment of Classifier System
Prediction Performance / John H. Holmes
A Self-Adaptive XCS / Jacob Hurst ; Larry Bull
Two Views of Classifier Systems / Tim Kovacs
Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the "El Farol" Bar Problem / Luis Miramontes Hercog ; Terence C. Fogarty
Applications / II：
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining / Ester Bernadó ; Xavier Llora ; Josep M. Garrell
A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool / Phillip William Dixon ; David W. Corne ; Martin John Oates
Explorations in LCS Models of Stock Trading / Sonia Schulenburg ; Peter Ross
On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems / Patrícia Amancio Vargas ; Christiano Lyra Filho ; Fernando J. Von Zuben
Compact Rulesets from XCSI
Appendix / III：
An Algorithmic Description of ACS2 / Wolfgang Stolzmann
Author Index
Theory / I：
Biasing Exploration in an Anticipatory Learning Classifier System / Martin V. Butz
An Incremental Multiplexer Problem and Its Uses in Classifier System
10.

図書
図書
10. Machine learning and its applications : advanced lectures
Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos (eds.)
出版情報: Berlin : Springer, c2001  viii, 324 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2049 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Methods
Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts / Yves Kodratoff
Learning Patterns in Noisy Data: The AQ Approach / Ryszard S. Michalski ; Kenneth A. Kaufman
Unsupervised Learning of Probabilistic Concept Hierarchies / Wayne Iba ; Pat Langley
Function Decomposition in Machine Learning / Bla? Zupan ; Ivan Bratko ; Marko Bohanec ; Janez Demsar
How to Upgrade Propositional Learners to First Order Logic: A Case Study / Wim Van Laer ; Luc De Raedt
Case-Based Reasoning / Ramon Lopez de Mantaras
Genetic Algorithms in Machine Learning / Jonathan Shapiro
Pattern Recognition and Neural Networks / Sergios Theodoridis ; Konstantinos Koutroumbas
Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications / Maarten van Someren
Integrated Architectures for Machine Learning / Lorenza Saitta
Applications
The Computational Support of Scientific Discovery
Support Vector Machines: Theory and Applications / Theodoros Evgeniou ; Massimiliano Pontil
Pre- and Post-processing in Machine Learning and Data Mining / Ivan Bruha
Machine Learning in Human Language Technology / Nikos D. Fakotakis ; Kyriakos N. Sgarbas
Machine Learning for Intelligent Information Access / Grigoris Karakoulas ; Giovanni Semeraro
Machine Learning and Intelligent Agents / Themis Panayiotopoulos ; Nick Z. Zacharis
Machine Learning in User Modeling / Christos Papatheodorou
Data Mining in Economics, Finance, and Marketing / Hans C. Jessen ; Georgios Paliouras
Machine Learning in Medical Applications / George D. Magoulas ; Andriana Prentza
Machine Learning Applications to Power Systems / Nikolaos Hatziargyriou
Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications / Nikolaos Vassilas ; Elias Kalapanidas ; Nikolaos Avouris ; Stavros Perantonis
Author Index
Methods
Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts / Yves Kodratoff
Learning Patterns in Noisy Data: The AQ Approach / Ryszard S. Michalski ; Kenneth A. Kaufman
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