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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 4 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ICML
2005
IEEE
16 years 2 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
IAT
2006
IEEE
15 years 7 months ago
Ontology-Based Content Management and Access Framework for Supporting E-Learning Systems
E-Learning is a fast, just-in-time, and non-linear learning process, which is now widely applied in distributed and dynamic environments such as on the World Wide Web. However, it...
Ming Mao, Yefei Peng, Daqing He
AIED
2005
Springer
15 years 7 months ago
On the Prospects of Intelligent Collaborative E-learning Systems
Collaborative learning is question-driven and open-ended by nature. Many of the techniques developed for intelligent tutoring are applicable only in more structured settings, but f...
Miikka Miettinen, Jaakko Kurhila, Henry Tirri
EAGC
2003
Springer
15 years 6 months ago
ULabGrid, an Infrastructure to Develop Distant Laboratories for Undergrad Students over a Grid
Abstract. Nowadays, there is a big discussion about two different topics: how distance learning and the old fashioned learning can be improved using the new technologies. In both ...
Oscar Ardaiz, Pau Artigas, Luis Díaz de Cer...