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» A Study of Empirical Learning for an Involved Problem
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CSE
2009
IEEE
15 years 6 months ago
Social Inference Risk Modeling in Mobile and Social Applications
— The emphasis of emerging mobile and Web 2.0 applications on collaboration and communication increases threats to user privacy. A serious, yet under-researched privacy risk resu...
Sara Motahari, Sotirios G. Ziavras, Mor Naaman, Mo...
FOGA
1998
15 years 1 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
15 years 1 months ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
COLT
2004
Springer
15 years 5 months ago
Boosting Based on a Smooth Margin
Abstract. We study two boosting algorithms, Coordinate Ascent Boosting and Approximate Coordinate Ascent Boosting, which are explicitly designed to produce maximum margins. To deri...
Cynthia Rudin, Robert E. Schapire, Ingrid Daubechi...
ACE
2003
76views Education» more  ACE 2003»
15 years 1 months ago
Successful Studio-based Real-World Projects in IT Education
An important aspect of University teaching is to promote deeper learning by ensuring students have good exposure to problems they will encounter in their working life. While it is...
Matthew Simpson, Jay Burmeister, Alan Boykiw, Jiha...