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LFCS
1992
Springer
15 years 8 months ago
Machine Learning of Higher Order Programs
A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of ...
Ganesh Baliga, John Case, Sanjay Jain, Mandayam Su...
JMLR
2002
89views more  JMLR 2002»
15 years 4 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
ECML
2003
Springer
15 years 10 months ago
Support Vector Machines with Example Dependent Costs
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
Ulf Brefeld, Peter Geibel, Fritz Wysotzki
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
ICALT
2006
IEEE
15 years 10 months ago
Adaptive e-Learning Methods and IMS Learning Design: An Integrated Approach
This position paper shows how several classical methods in adaptive learning can be addressed using IMS Learning Design. After a definition of four main questions to classify adap...
Daniel Burgos, Marcus Specht