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» A Model of Learning Using the Internet
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WWW
2009
ACM
16 years 5 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
IADIS
2004
15 years 6 months ago
Collaborative Learning and Organization Concept of Virtual University Education
The top-down implementation of information and communication technology does not guarantee necessary organizational change in e-learning and virtual enterprises. The delivery of o...
Miroljub Kljajic, Vardan Mkrttchian, Andrej Skraba
ICML
1999
IEEE
16 years 6 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
ML
2006
ACM
187views Machine Learning» more  ML 2006»
15 years 5 months ago
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds ...
Graham Grindlay, David P. Helmbold
ACL
2004
15 years 6 months ago
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio