12 search results - page 2 / 3 » A particle swarm optimization approach for estimating parame... |
CEC
2008
IEEE
14 years 10 days ago
2008
IEEE
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
ICPR
2008
IEEE
14 years 8 days ago
2008
IEEE
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...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
LION
2009
Springer
14 years 12 days ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
ICPR
2000
IEEE
14 years 7 months ago
2000
IEEE
An improved maximum likelihood estimator for ellipse fitting based on the heteroscedastic errors-in-variables (HEIV) regression algorithm is proposed. The technique significantly ...