10 search results - page 1 / 2 » Using a Markov network model in a univariate EDA: an empiric... |
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
ISQED
2005
IEEE
13 years 10 months ago
2005
IEEE
As the scale and complexity of VLSI circuits increase, Electronic Design Automation (EDA) tools become much more sophisticated and are held to increasing standards of quality. New...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...