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» Approximating Component Selection
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ISN
1999
Springer
112views Communications» more  ISN 1999»
15 years 2 months ago
Modelling Management Components for Reuse Using UML
The competitive pressures of the telecoms sector are leading to a major push towards the automation and integration of many operational support processes. This creates pressures to...
David Lewis, Chris Malbon, Alina DaCruz
ICANN
2010
Springer
14 years 10 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
CVPR
2005
IEEE
15 years 11 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
FUZZIEEE
2007
IEEE
15 years 4 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
PERSUASIVE
2009
Springer
15 years 4 months ago
Communication-based influence components model
This paper discusses problems faced by planners of real-world online behavioural change interventions who must select behavioural change frameworks from a variety of competing the...
Brian Cugelman, Mike Thelwall, Phil Dawes