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ICALT
2006
IEEE
15 years 8 months ago
Sharing Knowledge in Adaptive Learning Systems
In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does...
Milos Kravcik, Dragan Gasevic
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 8 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
157
Voted
ICML
2010
IEEE
15 years 3 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
83
Voted
ICALT
2007
IEEE
15 years 9 months ago
Automatic Evaluation of Spatial Representations for Complex Robotic Arms Manipulations
This paper describes how a knowledge model allows training software to evaluate spatial cognitive maps and provide tailored assistance.
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...
115
Voted
CORR
2008
Springer
99views Education» more  CORR 2008»
15 years 2 months ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...