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SIGIR
2011
ACM
14 years 5 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
ICALT
2006
IEEE
15 years 8 months ago
Model-Driven Instructional Engineering to Generate Adaptable Learning Materials
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...
Juan Manuel Dodero, David Díez
ICML
2010
IEEE
15 years 3 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
ICCS
2007
Springer
15 years 8 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
KES
2008
Springer
15 years 2 months ago
Fuzzy User Profiling in e-Learning Contexts
The research activity described in this paper concerns the personalisation process in e-learning contexts. Particular emphasis is laid on the mechanisms of user profiling and assoc...
Corrado Mencar, Ciro Castiello, Anna Maria Fanelli