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PVM
2005
Springer
14 years 25 days ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
JSAC
2006
106views more  JSAC 2006»
13 years 7 months ago
Mathematical Decomposition Techniques for Distributed Cross-Layer Optimization of Data Networks
Abstract--Network performance can be increased if the traditionally separated network layers are jointly optimized. Recently, network utility maximization has emerged as a powerful...
Björn Johansson, Pablo Soldati, Mikael Johans...
ICC
2007
IEEE
122views Communications» more  ICC 2007»
14 years 1 months ago
Representation of a CPM Modulator through a Finite-State Sequential Machine
The well known decomposition of a CPM signal into PAM waveforms represents the linear part of a CPM modulator. The paper deals with the non–linear part, not fully developed in t...
Gianfranco Cariolaro, Alberto Vigato
FMOODS
2006
13 years 8 months ago
Bounded Analysis and Decomposition for Behavioural Descriptions of Components
Abstract. Explicit behavioural interfaces are now accepted as a mandatory feature of components to address architectural analysis. Behavioural interface description languages shoul...
Pascal Poizat, Jean-Claude Royer, Gwen Salaün
DAC
2003
ACM
14 years 8 months ago
Large-scale SOP minimization using decomposition and functional properties
In some cases, minimum Sum-Of-Products (SOP) expressions of Boolean functions can be derived by detecting decomposition and observing the functional properties such as unateness, ...
Alan Mishchenko, Tsutomu Sasao