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» A Gibbs distribution that learns from GA dynamics
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AIED
2005
Springer
14 years 2 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
FECS
2008
129views Education» more  FECS 2008»
13 years 10 months ago
Assessment of Student Performance in an Internet-Based Multimedia Classroom
Much research has been devoted to the study of exclusively distance-learning paradigms for teaching various technological subjects, yet many students have not been satisfied with ...
Stephen Turner, Michael Farmer
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 7 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
IJAR
2008
119views more  IJAR 2008»
13 years 9 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen
LREC
2008
131views Education» more  LREC 2008»
13 years 10 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...