Machine Learning, Volume 28, 1997

Volume 28, Number 1, July 1997

• Lorien Y. Pratt, Sebastian Thrun:
  Guest Editors' Introduction. 5
  
• Jonathan Baxter:
  A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling. 7-39
  
• Rich Caruana:
  Multitask Learning. 41-75
  
• Mark B. Ring:
  CHILD: A First Step Towards Continual Learning. 77-104
  
• Jürgen Schmidhuber, Jieyu Zhao, Marco Wiering:
  Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement. 105-130
  

Volume 28, Numbers 2-3, August 1997

• Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby:
  Selective Sampling Using the Query by Committee Algorithm. 133-168
  
• Thomas G. Dietterich, Nicholas S. Flann:
  Explanation-Based Learning and Reinforcement Learning: A Unified View. 169-210
  
• Dana Angluin, Martins Krikis, Robert H. Sloan, György Turán:
  Malicious Omissions and Errors in Answers to Membership Queries. 211-255
  
• J. Kent Martin:
  An Exact Probability Metric for Decision Tree Splitting and Stopping. 257-291
  

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