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UAI
1996
15 years 7 months ago
Learning Equivalence Classes of Bayesian Network Structures
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
David Maxwell Chickering
DAWAK
2010
Springer
15 years 6 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
AUTOMATICA
2006
166views more  AUTOMATICA 2006»
15 years 6 months ago
On admissible pairs and equivalent feedback - Youla parameterization in iterative learning control
This paper revisits a well-known synthesis problem in iterative learning control, where the objective is to optimize a performance criterion over a class of causal iterations. The...
Mark Verwoerd, Gjerrit Meinsma, Theo de Vries
CE
2007
100views more  CE 2007»
15 years 6 months ago
Visualization of participation: Does it contribute to successful computer-supported collaborative learning?
This study investigated the effects of visualization of participation during computer-supported collaborative learning (CSCL). It is hypothesized that visualization of participat...
Jeroen Janssen, Gijsbert Erkens, Gellof Kanselaar,...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 4 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish