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» Methods and Metrics for Selective Regression Testing
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83
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CORR
2007
Springer
128views Education» more  CORR 2007»
14 years 9 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
76
Voted
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
APSEC
2003
IEEE
15 years 2 months ago
Selecting Components: a Process for Context-Driven Evaluation
This paper describes a process for selecting and evaluating candidates for component based software engineering. The process is aimed at developers sourcing components from third ...
Valerie Maxville, Chiou Peng Lam, Jocelyn Armarego
DIS
2009
Springer
15 years 4 months ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...
ISMIS
2011
Springer
14 years 13 days ago
Evaluation of Feature Combination Approaches for Text Categorisation
Text categorisation relies heavily on feature selection. Both the possible reduction in dimensionality as well as improvements in classification performance are highly desirable. ...
Robert Neumayer, Kjetil Nørvåg