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208
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KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 7 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
198
Voted
COR
2008
164views more  COR 2008»
15 years 7 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
ICML
2004
IEEE
16 years 26 days ago
Optimising area under the ROC curve using gradient descent
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
Alan Herschtal, Bhavani Raskutti
DSOM
2004
Springer
16 years 25 days ago
Using Object-Oriented Constraint Satisfaction for Automated Configuration Generation
In this paper, we describe an approach for automatically generating configurations for complex applications. Automated generation of system co nfigurations is required to allow lar...
Tim Hinrichs, Nathaniel Love, Charles J. Petrie, L...
CRV
2005
IEEE
191views Robotics» more  CRV 2005»
16 years 1 months ago
Automated Behavioral Phenotype Detection and Analysis Using Color-Based Motion Tracking
The problem of elucidating the functional significance of genes is a key challenge of modern science. Solving this problem can lead to fundamental advancements across multiple are...
Alan Shimoide, Ilmi Yoon, Megumi Fuse, Holly C. Be...