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Random subspace method

Known as: Attribute bagging 
In machine learning. the random subspace method, also called attribute bagging or feature bagging, is an ensemble learning method that attempts to… 
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Related topics

Related topics

13 relations
AlgorithmAnomaly detectionBootstrap aggregatingDecision tree learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Combining one-class support vector machines for microarray classification
The advance of high-throughput techniques, such as gene microarrays and protein chips have a major impact on contemporary biology… 
2012
2012
A hand gestures recognition approach combined attribute bagging with symmetrical uncertainty
In order to improve the performance of traditional hand gestures recognition method, the idea of ensemble learning is adopted in… 
2010
2010
Directed Random Subspace Method for Face Recognition
With growing attention to ensemble learning, in recent years various ensemble methods for face recognition have been proposed… 
2010
2010
Feature Rating by Random Subspaces for Functional Brain Mapping
Functional magnetic resonance imaging is a technology allowing for a non-invasive measurement of the brain activity. Data are… 
2010
2010
Random Subspace Method for One-Class Classifiers
The goal of one-class classi cation is to distinguish the target class from all the other classes using only training data of the… 
2009
2009
Design of Chinese Text Categorization Classifier Based on Attribute Bagging
In order to improve the precise rate and recall rate of Chinese text classifier, an improved bagging algorithm – attribute… 
2008
2008
A Random Subspace Method for Co-Training
Semi-supervised learning has received much attention recently.Cotraining is a kind of semi-supervised learning method which uses… 
2007
2007
An Improved Random Subspace Method and Its Application to EEG Signal Classification
Ensemble learning is one of the principal current directions in the research of machine learning. In this paper, subspace… 
2007
2007
Two-Dimensional Random Subspace Analysis for face recognition
In this paper, we proposed a novel technique for face recognition using Two-Dimensional Random Subspace Analysis (2DRSA), based… 
2003
2003
Una revisión de los métodos de agregación de clasificadores
En este articulo se pretende plantear las ventajas que presenta la combinacion de distintos clasificadores individuales para… 
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