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GRC
2010
IEEE
14 years 8 months ago
A Comparative Study of Threshold-Based Feature Selection Techniques
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hu...
FMSD
2006
119views more  FMSD 2006»
14 years 10 months ago
Feature interaction detection by pairwise analysis of LTL properties - A case study
A Promela specification and a set of temporal properties are developed for a basic call service with a number of features. The properties are expressed in the logic LTL. Interactio...
Muffy Calder, Alice Miller
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 2 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 2 months ago
Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
Stephen Y. Chen, Cesar Guerra-Salcedo, Stephen F. ...
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
16 years 3 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen