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» Properties of Support Vector Machines
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ICML
2009
IEEE
16 years 7 months ago
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
We present an algorithm for finding an ssparse vector x that minimizes the squareerror y - x 2 where satisfies the restricted isometry property (RIP), with isometric constant 2s ...
Rahul Garg, Rohit Khandekar
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 8 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
JCB
2000
107views more  JCB 2000»
15 years 6 months ago
A Discriminative Framework for Detecting Remote Protein Homologies
A new method for detecting remote protein homologies is introduced and shown to perform well in classifying protein domains by SCOP superfamily. The method is a variant of support...
Tommi Jaakkola, Mark Diekhans, David Haussler
ISCI
2008
165views more  ISCI 2008»
15 years 6 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
BMCBI
2007
142views more  BMCBI 2007»
15 years 6 months ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...