7. COLT 1994: New Brunswick, NJ, USA

• Stephen Muggleton:
  Bayesian Inductive Logic Programming. 3-11
  
• Fernando C. N. Pereira:
  Frequencies vs Biases: Machine Learning Problems in Natural Language Processing (Extended Abstract). 12
  
• Michael I. Jordan:
  A Statistical Approach to Decision Tree Modeling. 13-20
  
• Michael Frazier, Leonard Pitt:
  CLASSIC Learning. 23-34
  
• Dana Ron, Yoram Singer, Naftali Tishby:
  Learning Probabilistic Automata with Variable Memory Length. 35-46
  
• Bhaskar DasGupta, Hava T. Siegelmann, Eduardo D. Sontag:
  On a Learnability Question Associated to Neural Networks with Continuous Activations (Extended Abstract). 47-56
  
• Dana Angluin, Martins Krikis:
  Learning with Malicious Membership Queries and Exceptions (Extended Abstract). 57-66
  
• Wolfgang Maass:
  Efficient Agnostic PAC-Learning with Simple Hypothesis. 67-75
  
• David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby:
  Rigorous Learning Curve Bounds from Statistical Mechanics. 76-87
  
• Claude-Nicolas Fiechter:
  Efficient Reinforcement Learning. 88-97
  
• V. G. Vovk:
  An Optimal-Control Application of Two Paradigms of On-Line Learning. 98-109
  
• Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth:
  On Learning Read-k-Satisfy-j DNF. 110-117
  
• Krishnan Pillaipakkamnatt, Vijay V. Raghavan:
  On the Limits of Proper Learnability of Subclasses of DNF Formulas. 118-129
  
• Nader H. Bshouty, Richard Cleve, Sampath Kannan, Christino Tamon:
  Oracles and Queries that are Sufficient for Exact Learning (Extended Abstract). 130-139
  
• Andrey Burago:
  Learning Structurally Reversible Context-Free Grammars from Queries and Counterexamples in Polynomial Time. 140-146
  
• David Gillman, Michael Sipser:
  Inference and Minimization of Hidden Markov Chains. 147-158
  
• Joe Kilian, Kevin J. Lang, Barak A. Pearlmutter:
  Playing the Matching-Shoulders Lob-Pass Game with Logarithmic Regret. 159-164
  
• Yoshifumi Sakai, Akira Maruoka:
  Learning Monotone Log-Term DNF Formulas. 165-172
  
• Kenji Yamanishi:
  The Minimum L-Complexity Algorithm and its Applications to Learning Non-Parametric Rules. 173-182
  
• Thomas H. Chung:
  Approximate Methods for Sequential Decision Making Using Expert Advice. 183-189
  
• Rusins Freivalds, Marek Karpinski, Carl H. Smith:
  Co-Learning of Total Recursive Functions. 190-197
  
• Paul W. Goldberg, Sally A. Goldman, H. David Mathias:
  Learning Unions of Boxes with Membership and Equivalence Queries. 198-207
  
• José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe:
  An Optimal Parallel Algorithm for Learning DFA. 208-217
  
• Zhixiang Chen, Steven Homer:
  On Learning Counting Functions with Queries. 218-227
  
• Tibor Hegedüs:
  Geometrical Concept Learning and Convex Polytopes. 228-236
  
• Robert H. Sloan, György Turán:
  Learning with Queries but Incomplete Information (Extended Abstract). 237-245
  
• Paul W. Goldberg, Sally A. Goldman:
  Learning One-Dimensional Geometric Patterns Under One-Sided Random Misclassification Noise. 246-255
  
• Steffen Lange:
  The Representation of Recursive Languages and Its Impact on the Efficiency of Learning. 256-267
  
• Martin Kummer:
  The Strength of Noninclusions for Teams of Finite Learners (Extended Abstract). 268-277
  
• Sanjay Jain, Arun Sharma:
  On the Intrinsic Complexity of Language Identification. 278-286
  
• Martin Kummer, Frank Stephan:
  Inclusion Problems in Parallel Learning and Games (Extended Abstract). 287-298
  
• Peter L. Bartlett, Philip M. Long, Robert C. Williamson:
  Fat-Shattering and the Learnability of Real-Valued Functions. 299-310
  
• Daoud Bshouty, Nader H. Bshouty:
  On Learning Arithmetic Read-Once Formulas with Exponentiation (Extended Abstract). 311-317
  
• Peter L. Bartlett, Paul Fischer, Klaus-Uwe Höffgen:
  Exploiting Random Walks for Learning. 318-327
  
• Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt:
  Learning from a Consistently Ignorant Teacher. 328-339
  
• Tom Bylander:
  Learning Linear Threshold Functions in the Presence of Classification Noise. 340-347
  
• Pascal Koiran:
  Efficient Learning of Continuous Neural Networks. 348-355
  
• Kyung-Hoon Kwon, Kukjin Kang, Jong-Hoon Oh:
  Generalization in Partially Connected Layered Neural Networks. 356-361
  
• Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
  Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes. 362-367