Sciweavers

510 search results - page 5 / 102
» On the importance function in splitting simulation
Sort
View
IJCNN
2006
IEEE
14 years 1 months ago
Particle Swarm Optimization based Defensive Islanding of Large Scale Power System
— Defensive islanding is an efficient way to avoid catastrophic failures and wide area blackouts. Power system splitting especially for large scale power systems is a combinatori...
Wenxin Liu, David A. Cartes, Ganesh K. Venayagamoo...
IJCSA
2007
130views more  IJCSA 2007»
13 years 7 months ago
Binary Particle Swarm Optimization Based Defensive Islanding Of Large Scale Power Systems
Power system defensive islanding is an efficient way to avoid catastrophic wide area blackouts, such as the 2003 North American Blackout. Finding defensive islands of large-scale ...
Wenxin Liu, Li Liu, David A. Cartes, Ganesh K. Ven...
BMCBI
2010
130views more  BMCBI 2010»
13 years 8 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...
VC
2008
169views more  VC 2008»
13 years 7 months ago
Adaptive particles for incompressible fluid simulation
Abstract We propose a particle-based technique for simulating incompressible fluid that includes adaptive refinement of particle sampling. Each particle represents a mass of fluid ...
Woosuck Hong, Donald H. House, John Keyser
CSDA
2007
148views more  CSDA 2007»
13 years 7 months ago
Classifying densities using functional regression trees: Applications in oceanology
The problem of building a regression tree is considered when the response variable is a probability density function. Splitting criteria which are well adapted to measure the diss...
David Nerini, Badih Ghattas