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» An Intelligent Lessons Learned Process
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IJAMC
2008
99views more  IJAMC 2008»
13 years 10 months ago
Improving Educational Multimedia selection process using group decision support systems
Educational Multimedia (EMM) is becoming a mature and integral part of teaching and learning systems, mainly due to its ability improve teaching and learning. However, EMM selecti...
Mohammed N. A. Abdelhakim, Shervin Shirmohammadi
AAAI
2010
13 years 11 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
IDEAL
2005
Springer
14 years 3 months ago
Neural Networks: A Replacement for Gaussian Processes?
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Matthew Lilley, Marcus R. Frean
ATAL
2009
Springer
14 years 4 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
JACM
2010
208views more  JACM 2010»
13 years 8 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...