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ICPR
2008
IEEE
15 years 11 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
CIARP
2009
Springer
15 years 8 months ago
Particle Swarm Model Selection for Authorship Verification
Authorship verification is the task of determining whether documents were or were not written by a certain author. The problem has been faced by using binary classifiers, one per a...
Hugo Jair Escalante, Manuel Montes-y-Gómez,...
AMC
2007
129views more  AMC 2007»
15 years 4 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
CORR
2004
Springer
112views Education» more  CORR 2004»
15 years 4 months ago
Swarms on Continuous Data
While being it extremely important, many Exploratory Data Analysis (EDA [21]) systems have the inhability to perform classification and visualization in a continuous basis or to se...
Vitorino Ramos, Ajith Abraham
P2P
2009
IEEE
115views Communications» more  P2P 2009»
15 years 11 months ago
Modeling and Analysis of Bandwidth-Inhomogeneous Swarms in BitTorrent
—A number of analytical models exists that capture various properties of the BitTorrent protocol. However, until now virtually all of these models have been based on the assumpti...
Michel Meulpolder, Johan A. Pouwelse, Dick H. J. E...