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SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
16 years 4 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
ACML
2009
Springer
16 years 2 months ago
Coupled Metric Learning for Face Recognition with Degraded Images
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
ITICSE
2004
ACM
16 years 1 months ago
Dyslexia and learning computer programming
This paper explores some of the issues associated with teaching computer science to students with dyslexia. Issues associated with both student learning generally and computer sci...
Norman Powell, David J. Moore, John Gray, Janet Fi...
ECML
2003
Springer
16 years 26 days ago
Learning Context Free Grammars in the Limit Aided by the Sample Distribution
We present an algorithm for learning context free grammars from positive structural examples (unlabeled parse trees). The algorithm receives a parameter in the form of a finite se...
Yoav Seginer
ER
2006
Springer
135views Database» more  ER 2006»
15 years 11 months ago
Towards Automatic Evaluation of Learning Object Metadata Quality
Thanks to recent developments on automatic generation of metadata and interoperability between repositories, the production, management and consumption of learning object metadata ...
Xavier Ochoa, Erik Duval