7. ALT 1996: Sydney, Australia

@proceedings{DBLP:conf/alt/1996,
  editor    = {Setsuo Arikawa and
               Arun Sharma},
  title     = {Algorithmic Learning Theory, 7th International Workshop, ALT
               '96, Sydney, Australia, October 23-25, 1996, Proceedings},
  booktitle = {ALT},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1160},
  year      = {1996},
  isbn      = {3-540-61863-5},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

• Leslie G. Valiant:
  Managing Complexity in Neurodial Circuits. 1-11
  
• Eiji Takimoto, Yoshifumi Sakai, Akira Maruoka:
  Learnability of Exclusive-Or Expansion Based on Monotone DNF Formulas. 12-25
  
• Philip M. Long:
  Improved Bounds about On-line Learning of Smooth Functions of a Single Variable. 26-36
  
• Atsuyoshi Nakamura:
  Query Learning of Bounded-Width OBDDs. 37-50
  
• Hans Kleine Büning, Theodor Lettmann:
  Learning a Representation for Optimizable Formulas. 51-58
  
• Arlindo L. Oliveira, Stephen Edwards:
  Limits of Exact Algorithms For Inference of Minimum Size Finite State Machines. 59-66
  
• Paul M. B. Vitányi:
  Genetic Fitness Optimization Using Rapidly Mixing Markov Chains. 67-82
  
• Rohan A. Baxter, Jonathan J. Oliver:
  The Kindest Cut: Minimum Message Length Segmentation. 83-90
  
• R. A. Pearson, E. K. T. Smith:
  Reducing Complexity of Decision Trees with Two Variable Tests. 91-99
  
• Vikraman Arvind, N. V. Vinodchandran:
  The Complexity of Exactly Learning Algebraic Concepts. (Extended Abstract). 100-112
  
• Amr F. Fahmy, Robert S. Roos:
  Efficient Learning of Real Time Two-Counter Automata (Extended Abstract). 113-126
  
• Nada Lavrac, Dragan Gamberger, Peter D. Turney:
  Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm. 127-134
  
• Selwyn Piramuthu:
  Effects of Feature Selection with 'Blurring' on NeuroFuzzy Systems. 135-142
  
• J. Ross Quinlan:
  Boosting First-Order Learning. 143-155
  
• Janis Barzdins, Ugis Sarkans:
  Incorporating Hypothetical Knowledge into the Process of Inductive Synthesis. 156-168
  
• Lionel Martin, Christel Vrain:
  Induction of Constraint Logic Programs. 169-176
  
• Noriko Sugimoto, Kouichi Hirata, Hiroki Ishizaka:
  Constructive Learning of Translations Based on Dictionaries. 177-184
  
• Jianguo Lu, Jun Arima:
  Inductive Logic Programming Beyond Logical Implication. 185-198
  
• Dragan Gamberger, Nada Lavrac, Saso Dzeroski:
  Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois. 199-212
  
• David L. Dowe, Jonathan J. Oliver, Chris S. Wallace:
  MML Estimation of the Parameters of the Sherical Fisher Distribution. 213-227
  
• Steffen Lange, Rolf Wiehagen, Thomas Zeugmann:
  Learning by Erasing. 228-241
  
• Sanjay Jain, Efim B. Kinber, Rolf Wiehagen:
  On Learning and Co-learning of Minimal Programs. 242-255
  
• Takeshi Shinohara, Hiroki Arimura:
  Inductive Inference of Unbounded Unions of Pattern Languages from Positive Data. 256-271
  
• M. R. K. Krishna Rao:
  A Class of Prolog Programs Inferable from Positive Data. 272-284
  
• John Case, Sanjay Jain, Frank Stephan:
  Vacillatory and BC Learning on Noisy Data. 285-298
  
• Andris Ambainis, Rusins Freivalds:
  Transformations that Preserve Learnability. 299-311
  
• Juris Viksna:
  Probabilitic Limit Identification up to "Small" Sets. 312-324
  
• Gunter Grieser:
  Reflecting Inductive Inference Machines and Its Improvement by Therapy. 325-336
  

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