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AAAI
2008
15 years 4 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
133
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EDM
2008
289views Data Mining» more  EDM 2008»
15 years 3 months ago
Developing a Log-based Motivation Measuring Tool
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which...
Arnon Hershkovitz, Rafi Nachmias
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 3 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
NAACL
2010
14 years 12 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
ITSE
2010
115views more  ITSE 2010»
14 years 8 months ago
Social navigation in web lectures: a study of virtPresenter
Social Navigation is an emerging approach to enhance online learning content. With social navigation, users can be guided through large volumes of learning material by visual cues...
Robert Mertens, Markus Ketterl, Peter Brusilovsky