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EDM
2009
106views Data Mining» more  EDM 2009»
15 years 1 months ago
Consistency of Students' Pace in Online Learning
The purpose of this study is to investigate the consistency of students' behavior regarding their pace of actions over sessions within an online course. Pace in a session is d...
Arnon Hershkovitz, Rafi Nachmias
127
Voted
ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
15 years 10 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
145
Voted
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 10 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
154
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KDD
1998
ACM
181views Data Mining» more  KDD 1998»
15 years 7 months ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley
118
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KDD
1995
ACM
112views Data Mining» more  KDD 1995»
15 years 7 months ago
Learning First Order Logic Rules with a Genetic Algorithm
This paper introduces a newalgorithm called SIAO1 for learning first order logic rules withgenetic algorithms. SIAO1uses the covering principle developed in AQwhereseed examplesar...
Sébastien Augier, Gilles Venturini, Yves Ko...