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ICML
2006
IEEE
16 years 4 months ago
The relationship between Precision-Recall and ROC curves
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
Jesse Davis, Mark Goadrich
ICML
2002
IEEE
16 years 4 months ago
Pruning Improves Heuristic Search for Cost-Sensitive Learning
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
Valentina Bayer Zubek, Thomas G. Dietterich
ICML
2000
IEEE
16 years 4 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
WWW
2009
ACM
16 years 4 months ago
Efficient application placement in a dynamic hosting platform
Web hosting providers are increasingly looking into dynamic hosting to reduce costs and improve the performance of their platforms. Instead of provisioning fixed resources to each...
Zakaria Al-Qudah, Hussein A. Alzoubi, Mark Allman,...
WWW
2008
ACM
16 years 4 months ago
Layman tuning of websites: facing change resilience
Client scripting permits end users to customize content, layout or style of their favourite websites. But current scripting suffers from a tight coupling with the website. If the ...
Cristóbal Arellano, Jon Iturrioz, Oscar D&i...