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» An ICA algorithm for analyzing multiple data sets
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ICPR
2000
IEEE
14 years 10 months ago
Tandem Fusion of Nearest Neighbor Editing and Condensing Algorithms - Data Dimensionality Effects
In this paper, the effect of the dimensionality of data sets on the exploitation of synergy among known nearest neighbor (NN) editing and condensing tools is analyzed using a synt...
Belur V. Dasarathy, José Salvador Sá...
FSS
2007
117views more  FSS 2007»
13 years 9 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
SSPR
2004
Springer
14 years 2 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
EOR
2006
74views more  EOR 2006»
13 years 9 months ago
A set theoretic framework for enumerating matches in surveys and its application to reducing inaccuracies in vehicle roadside su
This paper describes a framework for analysing matches in multiple data sets. The framework described is quite general and can be applied to a variety of problems where matches ar...
Richard G. Clegg
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
14 years 21 days ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya