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ICML
2009
IEEE
16 years 6 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye
ICML
2006
IEEE
16 years 6 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
2005
IEEE
16 years 6 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
WWW
2008
ACM
16 years 6 months ago
Keyword extraction for contextual advertisement
As the largest online marketplace, eBay strives to promote its inventory throughout the Web via different types of online advertisement. Contextually relevant links to eBay assets...
Xiaoyuan Wu, Alvaro Bolivar
CCS
2009
ACM
16 years 6 months ago
A new hash family obtained by modifying the SHA-2 family
In this work, we study several properties of the SHA-2 design which have been utilized in recent collision attacks against reduced round SHA-2. Small modifications to the SHA-2 des...
Somitra Kumar Sanadhya, Palash Sarkar