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» New ensemble methods for evolving data streams
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ICTAI
2008
IEEE
14 years 3 months ago
Ensemble Learning of Regional Classifiers
We present a new ensemble learning method that employs a set of regional classifiers, each of which learns to handle a subset of the training data. We split the training data and ...
Byungwoo Lee, Yong-chan Na, Byonghwa Oh, Jihoon Ya...
IEEECIT
2007
IEEE
14 years 3 months ago
Ensembles of Region Based Classifiers
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Sungha Choi, Byungwoo Lee, Jihoon Yang
BMCBI
2004
205views more  BMCBI 2004»
13 years 8 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
ML
2010
ACM
147views Machine Learning» more  ML 2010»
13 years 3 months ago
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
14 years 9 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...