Ensemble particle swarm model selection
HJ Escalante, M Montes, E Sucar - The 2010 international joint …, 2010 - ieeexplore.ieee.org
This paper elaborates on the benefits of using particle swarm model selection (PSMS) for
building effective ensemble classification models. PSMS searches in a toolbox for the best …
building effective ensemble classification models. PSMS searches in a toolbox for the best …
Using diversity in classifier set selection for Arabic handwritten recognition
The first observation concerning Arabian manuscript reveals the complexity of the task,
especially for the used classifiers ensemble. One of the most important steps in the design of …
especially for the used classifiers ensemble. One of the most important steps in the design of …
基于SVM 动态集成的高光谱遥感图像分类
牛鹏， 魏维 - 计算机应用, 2010 - cqvip.com
在Bagging 支持向量机(SVM) 的基础上, 将动态分类器集选择技术用于SVM 的集成学习,
研究了SVM 动态集成在高光谱遥感图像分类中的应用. 结合高光谱数据特性 …
研究了SVM 动态集成在高光谱遥感图像分类中的应用. 结合高光谱数据特性 …
一种新的决策树选择性集成学习方法
张燕平， 曹振田， 赵姝， 郑尧军， 杜玲， 窦蓉蓉 - 计算机工程与应用, 2010 - cqvip.com
个体学习器的差异度是集成学习中的关键因素. 流行的集成学习算法如Bagging
通过重取样技术产生个体学习器的差异度. 选择性集成从集成学习算法产生的个体学习器中选择 …
通过重取样技术产生个体学习器的差异度. 选择性集成从集成学习算法产生的个体学习器中选择 …
[PDF][PDF] 使用聚类来加速AdaBoost 并实现噪声数据探测
谢元澄， 杨静宇 - 软件学报, 2010 - jos.org.cn
决定集成学习性能的主要因素是集成的个体学习器之间的差异性. 使用聚类技术来加速
AdaBoost. 在不同噪声水平环境下, 新算法的性能都接近AdaBoost. 对AdaBoost …
AdaBoost. 在不同噪声水平环境下, 新算法的性能都接近AdaBoost. 对AdaBoost …
Multiple classifier systems: tools and methods
V Gunes, M Ménard, S Petitrenaud - Handbook of Pattern …, 2010 - World Scientific
As multiple experts can confront and exchange their ideas in order to improve the decision-
making process, a pattern recognition system can use several classifiers in order to improve …
making process, a pattern recognition system can use several classifiers in order to improve …
[PDF][PDF] Um método para segmentação de preditores
RAF Santos - 2010 - cin.ufpe.br
1.1–MOTIVAÇÃO A multiplicação de situações complexas e de difícil previsibilidade, bem
como as reações administrativas habituais, se revelam cada vez mais ineficazes, impondo a …
como as reações administrativas habituais, se revelam cada vez mais ineficazes, impondo a …
Integrated use of Hyperion and ASTER data for alteration mapping
MM Oskouei - Earth Resources and Environmental Remote …, 2010 - spiedigitallibrary.org
Mapping of alterations in a geological terrain can be considered as a classification task in
the remote sensing data processing. Training dataset is an important part of a classification …
the remote sensing data processing. Training dataset is an important part of a classification …
[图书][B] Competitive learning neural network ensemble weighted by predicted performance
Q Ye - 2010 - search.proquest.com
Ensemble approaches have been shown to enhance classification by combining the outputs
from a set of voting classifiers. Diversity in error patterns among base classifiers promotes …
from a set of voting classifiers. Diversity in error patterns among base classifiers promotes …