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» Kernel Machines and Boolean Functions
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AHS
2006
IEEE
125views Hardware» more  AHS 2006»
14 years 1 months ago
Evolving Hardware with Self-reconfigurable connectivity in Xilinx FPGAs
Randomly connecting networks have proven to be universal computing machines. By interconnecting a set of nodes in a random way one can model very complicated non-linear dynamic sy...
Andres Upegui, Eduardo Sanchez
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
14 years 23 days ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
GCB
2009
Springer
139views Biometrics» more  GCB 2009»
13 years 11 months ago
Graph-Kernels for the Comparative Analysis of Protein Active Sites
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
Thomas Fober, Marco Mernberger, Ralph Moritz, Eyke...
NIPS
2001
13 years 8 months ago
A kernel method for multi-labelled classification
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
André Elisseeff, Jason Weston
ICML
2005
IEEE
14 years 8 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...