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» On Applying Set Covering Models to Test Set Compaction
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CEC
2003
IEEE
14 years 27 days ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
WSC
2004
13 years 9 months ago
Input Modeling Using Quantile Statistical Methods
This paper applies quantile data analysis to input modeling in simulation. We introduce the use of QIQ plots to identify suitable distributions fitting the data and comparison dis...
Abhishek Gupta, Emanuel Parzen
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
MSV
2007
13 years 9 months ago
Assessment of ARMAX Structure as a Global Model for Self-Refilling Steam Distillation Essential Oil Extraction System
Abstract - In this paper, an essential oil extraction system with self-refilling system is modeled based on inputoutput data collected from a dedicated acquisition system. The ARMA...
Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib, Yusof...
CONSTRAINTS
2007
112views more  CONSTRAINTS 2007»
13 years 7 months ago
Maxx: Test Pattern Optimisation with Local Search Over an Extended Logic
In the ECAD area, the Test Generation (TG) problem consists in finding an input vector test for some possible diagnosis (a set of faults) of a digital circuit. Such tests may have ...
Francisco Azevedo