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» Statistical Modelling of CSP Solving Algorithms Performance
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EOR
2006
73views more  EOR 2006»
13 years 9 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...
CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
13 years 4 months ago
Closed-loop optimal experiment design: The partial correlation approach
Abstract-- We consider optimal experiment design for parametric prediction error system identification of linear timeinvariant systems in closed loop. The optimisation is performed...
Roland Hildebrand, Michel Gevers, Gabriel Solari
SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 3 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
FUIN
2011
358views Cryptology» more  FUIN 2011»
13 years 12 days ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
RECOMB
2005
Springer
14 years 9 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...