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» Approximation algorithms for the 0-extension problem
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SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 7 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
158
Voted
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 7 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
SODA
2008
ACM
128views Algorithms» more  SODA 2008»
15 years 7 months ago
Analysis of greedy approximations with nonsubmodular potential functions
In this paper, we present two techniques to analyze greedy approximation with nonsubmodular functions restricted submodularity and shifted submodularity. As an application of the ...
Ding-Zhu Du, Ronald L. Graham, Panos M. Pardalos, ...
COCOON
2004
Springer
15 years 10 months ago
k-Center Problems with Minimum Coverage
In this work, we study an extension of the k-center facility location problem, where centers are required to service a minimum of clients. This problem is motivated by requirement...
Andrew Lim, Brian Rodrigues, Fan Wang, Zhou Xu
171
Voted
CORR
2011
Springer
204views Education» more  CORR 2011»
15 years 19 days ago
Accelerated Dual Descent for Network Optimization
—Dual descent methods are commonly used to solve network optimization problems because their implementation can be distributed through the network. However, their convergence rat...
Michael Zargham, A. Ribeiro, Ali Jadbabaie, Asuman...