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TNN
1998
112views more  TNN 1998»
13 years 8 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment
: Personalized Education (PE) emphasizes the importance of individual differences in learning. To deliver personalized e-learning services and content, PE encompasses the abilities...
Apple W. P. Fok, H. S. Wong, Y. S. Chen
JVA
2006
IEEE
14 years 3 months ago
Describing and Researching of Learning Resources with Ontology Model
In this paper, we will introduce to describe learning resources by using ontology model based on metadata of learning standard as Sharable Content Object Reference Model (SCORM) a...
S. Niwattanakul, M. Eboueya, D. Lillis
ICWL
2009
Springer
14 years 3 months ago
Social Reference Model for Adaptive Web Learning
In this paper, we describe the design steps of extending LAOS, a five-layer framework for generic adaptive web learning authoring, by adding a social layer to capture (and adapt) i...
Fawaz Ghali, Alexandra I. Cristea
ICML
2009
IEEE
14 years 9 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint