12. ALT 2001: Washington, DC, USA

• Naoki Abe, Roni Khardon, Thomas Zeugmann:
  Editors' Introduction. 1-8
  

Invited Papers

• Setsuo Arikawa:
  The Discovery Science Project in Japan. 9-11
  
• Dana Angluin:
  Queries Revisited. 12-31
  
• Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal:
  Robot Baby 2001. 32-56
  
• Lindley Darden:
  Discovering Mechanisms: A Computational Philosophy of Science Perspective. 57-57
  
• Ben Shneiderman:
  Inventing Discovery Tools: Combining Information Visualization with Data Mining. 58
  

Complexity of Learning

• Ke Yang:
  On Learning Correlated Boolean Functions Using Statistical Queries. 59-76
  
• Kohei Hatano:
  A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm. 77-91
  
• Jirí Síma:
  Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard. 92-105
  

Support Vector Machines

• Ken Sadohara:
  Learning of Boolean Functions Using Support Vector Machines. 106-118
  
• José L. Balcázar, Yang Dai, Osamu Watanabe:
  A Random Sampling Technique for Training Support Vector Machines. 119-134
  

New Learning Models

• Ashutosh Garg, Dan Roth:
  Learning Coherent Concepts. 135-150
  
• Stephen Kwek:
  Learning Intermediate Concepts. 151-166
  
• Daniel R. Dooly, Sally A. Goldman, Stephen Kwek:
  Real-Valued Multiple-Instance Learning with Queries. 167-180
  

Online Learning

• Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk:
  Loss Functions, Complexities, and the Legendre Transformation. 181-189
  
• Michael V. Vyugin, Vladimir V. V'yugin:
  Non-linear Inequalities between Predictive and Kolmogorov Complexities. 190-204
  

Inductive Inference

• Sanjay Jain, Frank Stephan:
  Learning by Switching Type of Information. 205-218
  
• Sanjay Jain, Frank Stephan:
  Learning How to Separate. 219-234
  
• Sanjay Jain, Yen Kaow Ng, Tiong Seng Tay:
  Learning Languages in a Union. 235-250
  
• Sandra Zilles:
  On the Comparison of Inductive Inference Criteria for Uniform Learning of Finite Classes. 251-266
  

Refutable Inductive Inference

• Yasuhito Mukouchi, Masako Sato:
  Refutable Language Learning with a Neighbor System. 267-282
  
• Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas Zeugmann:
  Learning Recursive Functions Refutably. 283-298
  
• Wolfgang Merkle, Frank Stephan:
  Refuting Learning Revisited. 299-314
  

Learning Structures and Languages

• Hiroki Arimura, Hiroshi Sakamoto, Setsuo Arikawa:
  Efficient Learning of Semi-structured Data from Queries. 315-331
  
• Steffen Lange, Gunter Grieser, Klaus P. Jantke:
  Extending Elementary Formal Systems. 332-347
  
• François Denis, Aurélien Lemay, Alain Terlutte:
  Learning Regular Languages Using RFSA. 348-363
  
• Colin de la Higuera, Jean-Christophe Janodet:
  Inference of omega-Languages from Prefixes. 364-378
  

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