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» Generation of Attributes for Learning Algorithms
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AI
2002
Springer
13 years 8 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
ERCIMDL
2006
Springer
114views Education» more  ERCIMDL 2006»
14 years 17 days ago
Towards a Digital Library for Language Learning
Digital libraries have untapped potential for supporting language teaching and learning. Although the Internet at large is widely used for language education, it has critical disad...
Shaoqun Wu, Ian H. Witten
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
14 years 1 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
ACMSE
2010
ACM
13 years 7 months ago
Automatic generation of model traversals from metamodel definitions
Developing software from models is a growing practice and there exist many model-based tools (e.g., model editors, model interpreters) for supporting model-driven engineering. Eve...
Tomaz Lukman, Marjan Mernik, Zekai Demirezen, Barr...
JMLR
2002
89views more  JMLR 2002»
13 years 8 months ago
The Set Covering Machine
We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the...
Mario Marchand, John Shawe-Taylor