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» Use of Ensemble Based on GA for Imbalance Problem
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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
DMIN
2007
91views Data Mining» more  DMIN 2007»
13 years 9 months ago
Instance Ranking using Ensemble Spread
- This paper investigates a technique for predicting ensemble uncertainty originally proposed in the weather forecasting domain. The overall purpose is to find out if the technique...
Rikard König, Ulf Johansson, Lars Niklasson
ISBI
2011
IEEE
12 years 11 months ago
Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm
We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas...
Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, Mur...
ARTMED
2002
119views more  ARTMED 2002»
13 years 7 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
WSC
2000
13 years 9 months ago
Simulation of an evolutionary tuned fuzzy dispatching system for automated guided vehicles
This paper presents the development and simulation of a novel Genetic Algorithm (GA) based methodology applied to optimal tuning of a fuzzy dispatching system for a fleet of autom...
Kok Kiong Tan, K. Z. Tang