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» Large-scale sparse logistic regression
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ICDCSW
2006
IEEE
14 years 1 months ago
Characterization of a Connectivity Measure for Sparse Wireless Multi-hop Networks
The extent to which a wireless multi-hop network is connected is usually measured by the probability that all the nodes form a single connected component. We find this measure, c...
Srinath Perur, Sridhar Iyer
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 8 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 8 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
WWW
2008
ACM
14 years 8 months ago
Contextual advertising by combining relevance with click feedback
Contextual advertising supports much of the Web's ecosystem today. User experience and revenue (shared by the site publisher ad the ad network) depend on the relevance of the...
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifo...
ICTAI
2008
IEEE
14 years 2 months ago
Classifying Spend Descriptions with Off-the-Shelf Learning Components
Analyzing spend transactions is essential to organizations for understanding their global procurement. Central to this analysis is the automated classification of these transacti...
Saikat Mukherjee, Dmitriy Fradkin, Michael Roth