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Machine Learning, Volume 28, 1997

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Volume 28, Number 1, July 1997

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Lorien Y. Pratt, Sebastian Thrun:
Guest Editors' Introduction. 5
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Jonathan Baxter:
A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling. 7-39
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  - journals/ml/Caruana97
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Rich Caruana:
Multitask Learning. 41-75
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Mark B. Ring:
CHILD: A First Step Towards Continual Learning. 77-104
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Jürgen Schmidhuber, Jieyu Zhao, Marco A. Wiering:
Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement. 105-130
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Volume 28, Numbers 2-3, August 1997

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