3. EuroCOLT 1997: Jerusalem, Israel

• Manfred K. Warmuth:
  Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension. 1-2
  
• Amos Beimel, Eyal Kushilevitz:
  Learning Boxes in High Dimension. 3-15
  
• David Guijarro, Víctor Lavín, Vijay Raghavan:
  Learning Monotone Term Decision Lists. 16-26
  
• Nader H. Bshouty, Christino Tamon, David K. Wilson:
  Learning Matrix Functions over Rings. 27-37
  
• Robert H. Sloan, György Turán:
  Learning from Incomplete Boundary Queries Using Split Graphs and Hypergraphs. 38-50
  
• Joel Ratsaby, Vitaly Maiorov:
  Generalization of the PAC-Model for Learning with Partial Information. 51-65
  
• Léa Meyer:
  Monotonic and Dual-Monotonic Probabilistic Language Learning of Indexed Families with High Probability. 66-78
  
• Juris Smotrovs:
  Closedness Properties in Team Learning of Recursive Functions. 79-93
  
• Matthias Ott, Frank Stephan:
  Structural Measures for Games and Process Control in the Branch Learning Model. 94-108
  
• Yoav Freund, Yishay Mansour:
  Learning Under Persistent Drift. 109-118
  
• Nicolò Cesa-Bianchi, Paul Fischer, Eli Shamir, Hans-Ulrich Simon:
  Randomized Hypotheses and Minimum Disagreement Hypotheses for Learning with Noise. 119-133
  
• David P. Helmbold, Stephen Kwek, Leonard Pitt:
  Learning When to Trust Which Experts. 134-149
  
• Francesco Bergadano, Nader H. Bshouty, Christino Tamon, Stefano Varricchio:
  On Learning Programs and Small Depth Circuits. 150-161
  
• Jorge Castro, David Guijarro, Víctor Lavín:
  Learning Nearly Monotone k-term DNF. 162-170
  
• Ryuhei Uehara, Kensei Tsuchida, Ingo Wegener:
  Optimal Attribute-Efficient Learning of Disjunction, Parity and Threshold Functions. 171-184
  
• Satoshi Matsumoto, Ayumi Shinohara:
  Learning Pattern Languages Using Queries. 185-197
  
• Andreas Birkendorf:
  On Fast and Simple Algorithms for Finding Maximal Subarrays and Applications in Learning Theory. 198-209
  
• Peter L. Bartlett, Tamás Linder, Gábor Lugosi:
  A Minimax Lower Bound for Empirical Quantizer Design. 210-222
  
• Pascal Koiran, Eduardo D. Sontag:
  Vapnik-Chervonenkis Dimension of Recurrent Neural Networks. 223-237
  
• Leonid Gurvits:
  Linear Algebraic Proofs of VC-Dimension Based Inequalities. 238-250
  
• Jonathan Baxter, Peter L. Bartlett:
  A Result Relating Convex n-Widths to Covering Numbers with some Applications to Neural Networks. 251-259
  
• John Shawe-Taylor:
  Confidence Estimates of Classification Accuracy on New Examples. 260-271
  
• Janis Barzdins, Rusins Freivalds, Carl H. Smith:
  Learning Formulae from Elementary Facts. 272-285
  
• John Case, Sanjay Jain, Mandayam Suraj:
  Control Structures in Hypothesis Spaces: The Influence on Learning. 286-300
  
• Andris Ambainis, Sanjay Jain, Arun Sharma:
  Ordinal Mind Change Complexity of Language Identification. 301-315
  
• Susanne Kaufmann, Frank Stephan:
  Robust Learning with Infinite Additional Information. 316-330
  

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