Editors' Introduction | | 1 - 7
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Naoki Abe,
Roni Khardon, and
T. Zeugmann
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Invited Papers
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The Discovery Science Project in Japan,
Abstract.
| | 9 - 11
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Setsuo Arikawa
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Queries Revisited,
Abstract.
| | 12 - 31
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Dana Angluin
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Robot Baby 2001,
Abstract.
| | 32 - 56
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Paul R. Cohen,
Tim Oates,
Niall Adams, and
Carole R. Beal
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Discovering Mechanisms: A Computational Philosophy of Science Perspective,
Abstract.
| | 57 - 57
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Lindley Darden
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Inventing Discovery Tools: Combining Information Visualization with Data Mining,
Abstract.
| | 58 - 58
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Ben Shneiderman
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Regular Contributions
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Complexity of Learning Learning
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On Learning Correlated Boolean Functions Using Statistical Queries
(Extended Abstract),
Abstract.
| | 59 - 76
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Ke Yang
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A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm,
Abstract.
| | 77 - 91
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Kohei Hatano
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Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard,
Abstract.
| | 92 - 105
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Jiří Šíma
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Support Vector Machines
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Learning of Boolean Functions Using Support Vector Machines,
Abstract.
| | 106 - 118
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Ken Sadohara
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A Random Sampling Technique for Training Support Vector Machines,
Abstract.
| | 119 - 134
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José Balcázar,
Yang Dai, and
Osamu Watanabe
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New Learning Models
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Learning Coherent Concepts,
Abstract.
| | 135 - 150
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Ashutosh Garg,
Dan Roth
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Learning Intermediate Concepts,
Abstract.
| | 151 - 166
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Stephen S. Kwek
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Real-Valued Multiple-Instance Learning with Queries,
Abstract.
| | 167 - 180
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Daniel R. Dooly,
Sally A. Goldman
and Stephen S. Kwek
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Online Learning
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Loss Functions, Complexities, and the Legendre Transformation
,
Abstract.
| | 181 - 189
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Yuri Kalnishkan,
Michael V. Vyugin and
Volodya Vovk
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Non-linear Inequalities between Predictive and Kolmogorov Complexities,
Abstract.
| | 190 - 204
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Michael V. Vyugin and
Vladimir V. V'yugin
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Inductive Inference
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Learning by Switching Type of Information,
Abstract.
| | 205 - 218
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Sanjay Jain and
Frank Stephan
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Learning How to Separate
,
Abstract.
| | 219 - 234
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Sanjay Jain and
Frank Stephan
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Learning Languages in a Union
,
Abstract.
| | 235 - 250
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Sanjay Jain, Yen Kaow Ng, and Tiong Seng Tay
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On the Comparison of Inductive Inference Criteria for Uniform Learning of
Finite Classes
,
Abstract.
| | 251 - 266
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Sandra Zilles
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Refutable Inductive Inference
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Refutable Language Learning with a Neighbor System
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Abstract.
| | 267 - 282
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Yasuhito Mukouchi and Masako Sato
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Learning Recursive Functions Refutably
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Abstract.
| | 283 - 298
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Sanjay Jain,
Efim Kinber,
Rolf Wiehagen and
Thomas Zeugmann
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Refuting Learning Revisited
,
Abstract.
| | 299 - 314
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Wolfgang Merkle and
Frank Stephan
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Learning Structures and Languages
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Efficient Learning of Semi-structured Data from Queries
,
Abstract.
| | 315 - 331
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Hiroki Arimura,
Hiroshi Sakamoto
and
Setsuo Arikawa
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Extending Elementary Formal Systems
,
Abstract.
| | 332 - 347
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Steffen Lange,
Gunter Grieser,
Klaus P. Jantke
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Learning Regular Languages Using RFSA
,
Abstract.
| | 348 - 363
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François Denis,
Aurélien Lemay and
Alain Terlutte
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Inference of -Languages from Prefixes
,
Abstract.
| | 364 - 377
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Colin de la Higuera and
Jean-Christophe Janodet
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Author Index
| | 379
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