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