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ICA
2004
Springer
16 years 27 days ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
218
Voted
AH
2008
Springer
16 years 1 months ago
Assisting in Reuse of Adaptive Hypermedia Creator's Models
The design of Adaptive Hypermedia is a difficult task which can be made easier if generic systems and AH creators’ models are reused. We address this design problem in the settin...
Nadjet Zemirline, Yolaine Bourda, Chantal Reynaud,...
AH
2004
Springer
15 years 11 months ago
A Learner Model in a Distributed Environment
A learner model must store all the relevant information about a student, including knowledge and attitude. This paper proposes a domain independent learner model based in the class...
Cristina Carmona, Ricardo Conejo
IJCAI
2007
15 years 9 months ago
Modeling When Connections Are the Problem
Most AI diagnostic reasoning approaches model components and but not their interconnections, and when they do model interconnections, they model the possibility that a connection ...
Johan de Kleer
171
Voted
BC
2006
83views more  BC 2006»
15 years 7 months ago
An Algorithmic Method for Reducing Conductance-based Neuron Models
Although conductance-based neural models provide a realistic depiction of neuronal activity, their complexity often limits effective implementation and analysis. Neuronal model red...
Michael E. Sorensen, Stephen P. DeWeerth