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CSDA
2007
106views more  CSDA 2007»
15 years 6 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
JMLR
2008
114views more  JMLR 2008»
15 years 6 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
JMLR
2008
148views more  JMLR 2008»
15 years 6 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
JNW
2008
97views more  JNW 2008»
15 years 6 months ago
Secure Multicast in WiMAX
Abstract-- Multicast enables efficient large-scale content distribution and has become more and more popular in network service. Security is a critical issue for multicast because ...
Sen Xu, Chin-Tser Huang, Manton M. Matthews
JPDC
2008
110views more  JPDC 2008»
15 years 6 months ago
Parallel multilevel algorithms for hypergraph partitioning
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In particular, we describe schemes for parallel coarsening, parallel greedy k-way...
Aleksandar Trifunovic, William J. Knottenbelt
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