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PR
2008
93views more  PR 2008»
13 years 10 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
ICPR
2004
IEEE
14 years 11 months ago
Efficient Calculation of the Complete Optimal Classification Set
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
Martin Brown, Nicholas Costen, Shigeru Akamatsu
DATE
2006
IEEE
85views Hardware» more  DATE 2006»
14 years 4 months ago
Test set enrichment using a probabilistic fault model and the theory of output deviations
— We present a probabilistic fault model that allows any number of gates in an integrated circuit to fail probabilistically. Tests for this fault model, determined using the theo...
Zhanglei Wang, Krishnendu Chakrabarty, Michael G&o...
ICCS
2005
Springer
14 years 3 months ago
Improved Tag Set Design and Multiplexing Algorithms for Universal Arrays
In this paper we address two optimization problems arising in the design of genomic assays based on universal tag arrays. First, we address the universal array tag set design probl...
Ion I. Mandoiu, Claudia Prajescu, Dragos Trinca
ICAISC
2004
Springer
14 years 3 months ago
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M....