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» Sensitivity Analysis of the Result in Binary Decision Trees
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MSR
2006
ACM
14 years 1 months ago
Predicting defect densities in source code files with decision tree learners
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
Patrick Knab, Martin Pinzger, Abraham Bernstein
PRL
1998
85views more  PRL 1998»
13 years 7 months ago
Large encrypting binary images with higher security
In this paper, we present a new approach for encrypting binary images. Putting different scan patterns at the same level in Ž .the scan tree structure and employing a two-dimensi...
Kuo-Liang Chung, Lung-Chun Chang
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 1 months ago
Experimental analysis of binary differential evolution in dynamic environments
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
Alp Emre Kanlikilicer, Ali Keles, Sima Uyar
DIS
2001
Springer
14 years 7 days ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama
ECSQARU
2003
Springer
14 years 29 days ago
Decision Making Based on Sampled Disease Occurrence in Animal Herds
To make qualified decisions when extrapolating results from a survey sample with imprecise tests requires careful handling of uncertainty. Both the imprecise test and uncertainty ...
Michael Höhle, Erik Jørgensen