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KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 2 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
14 years 12 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
ICEIS
2003
IEEE
15 years 7 months ago
Knowledge Construction in E-Learning - Designing an E-Learning Environment
: In the traditional classroom, students learned to depend on tutors for their motivation, direction, goal setting, progress monitoring, self-assessment, and achievement. A fundame...
Kecheng Liu, Shirley Williams, Lily Sun
SIGUCCS
2006
ACM
15 years 8 months ago
Better results in mathematics lessons with a virtual personal teacher
In this paper we present the results of an experiment made with our e-librarian service ”MatES”, an e-Learning tool on fractions in mathematics. MatES allows students to enter...
Serge Linckels, Carole Dording, Christoph Meinel
144
Voted
CVPR
2006
IEEE
16 years 4 months ago
Automatic Discovery of Action Taxonomies from Multiple Views
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Daniel Weinland, Rémi Ronfard, Edmond Boyer