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ECML
1998
Springer
13 years 11 months ago
First-Order Learning for Web Mining
We present compelling evidence that the World Wide Web is a domain in which applications can benefit from using first-order learning methods, since the graph structure inherent in ...
Mark Craven, Seán Slattery, Kamal Nigam
COLT
2005
Springer
14 years 28 days ago
Improved Second-Order Bounds for Prediction with Expert Advice
Nicolò Cesa-Bianchi, Yishay Mansour, Gilles...
ECML
2004
Springer
14 years 23 days ago
Estimating Attributed Central Orders: An Empirical Comparison
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho
AAAI
1994
13 years 8 months ago
Learning Explanation-Based Search Control Rules for Partial Order Planning
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
Suresh Katukam, Subbarao Kambhampati
RSFDGRC
2005
Springer
126views Data Mining» more  RSFDGRC 2005»
14 years 26 days ago
Rough Sets and Higher Order Vagueness
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
Andrzej Skowron, Roman W. Swiniarski