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125
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ICML
2010
IEEE
15 years 3 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
139
Voted
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 3 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
129
Voted
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 8 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
106
Voted
SJ
2010
136views more  SJ 2010»
14 years 9 months ago
Optimizing the Migration to Future-Generation Passive Optical Networks (PON)
We study the upgrading problem of existing Passive Optical Networks (PONs) that need to increase their capacity at different points in time. Our method upgrades line rates and migr...
M. De Andrade, Massimo Tornatore, S. Sallent, Bisw...
119
Voted
PLDI
2003
ACM
15 years 8 months ago
Taming the IXP network processor
We compile Nova, a new language designed for writing network processing applications, using a back end based on integer-linear programming (ILP) for register allocation, optimal b...
Lal George, Matthias Blume