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ORCIDMachine Learning, Volume 30, 1998
Volume 30, Number 1, January 1998
- Dana Ron:
Guest Editor's Introduction. 5-6 - Philip M. Long, Lei Tan:
PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples. 7-21 - Avrim Blum, Adam Kalai:
A Note on Learning from Multiple-Instance Examples. 23-29 - András Antos, Gábor Lugosi:
Strong Minimax Lower Bounds for Learning. 31-56 - William W. Cohen:
Hardness Results for Learning First-Order Representations and Programming by Demonstration. 57-87 - Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jackson, Norbert Klasner, Hans Ulrich Simon
:
On Restricted-Focus-of-Attention Learnability of Boolean Functions. 89-123
Volume 30, Numbers 2-3, February 1998
- Foster J. Provost, Ron Kohavi:
Guest Editors' Introduction: On Applied Research in Machine Learning. 127-132 - Lorenza Saitta, Filippo Neri:
Learning in the " Real World". 133-163 - Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele:
Learning to Recognize Volcanoes on Venus. 165-194 - Miroslav Kubat, Robert C. Holte, Stan Matwin:
Machine Learning for the Detection of Oil Spills in Satellite Radar Images. 195-215 - Yongwon Lee, Bruce G. Buchanan, John M. Aronis:
Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity. 217-240 - Paul W. Finn, Stephen H. Muggleton, David Page, Ashwin Srinivasan:
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. 241-270
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