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» Using Goal-Models to Analyze Variability
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ISIPTA
2003
IEEE
119views Mathematics» more  ISIPTA 2003»
14 years 24 days ago
Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
Jean-Marc Bernard
SMILE
2000
Springer
13 years 11 months ago
Rendering with Non-uniform Approximate Concentric Mosaics
In this paper, we explore the more practical aspects of building and rendering concentric mosaics. First, we use images captured with only approximately circular camera trajectorie...
Jinxiang Chai, Sing Bing Kang, Heung-Yeung Shum
ISDA
2009
IEEE
14 years 2 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
ESSOS
2009
Springer
14 years 2 months ago
Toward Non-security Failures as a Predictor of Security Faults and Failures
In the search for metrics that can predict the presence of vulnerabilities early in the software life cycle, there may be some benefit to choosing metrics from the non-security rea...
Michael Gegick, Pete Rotella, Laurie Williams
ISOLA
2004
Springer
14 years 27 days ago
A Rule Markup Language and its application to UML
In this paper we introduce RML, which stands for Rule Markup Language and is used for rule–based transformations of XML. With RML the user can define XML wildcard elements, vari...
Joost Jacob