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» Genetic Algorithms for Component Analysis
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GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 7 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
125
Voted
DOCENG
2005
ACM
15 years 5 months ago
Encapsulating and manipulating component object graphics (COGs) using SVG
Scalable Vector Graphics (SVG) has an imaging model similar to that of PostScript and PDF but the XML basis of SVG allows it to participate fully, via namespaces, in generalised X...
Alexander J. Macdonald, David F. Brailsford, Steve...
IJISTA
2007
119views more  IJISTA 2007»
15 years 3 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...
145
Voted
BCI
2009
IEEE
15 years 10 months ago
On the Performance of SVD-Based Algorithms for Collaborative Filtering
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
138
Voted
SEM
2004
Springer
15 years 8 months ago
Experience with Lightweight Distributed Component Technologies in Business Intelligence Systems
Business Intelligence (BI) systems address the demands of large scale enterprises for operational analytics, management information and decision support tasks. Building such applic...
Leticia Duboc, Tony Wicks, Wolfgang Emmerich