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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

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AlgorithmAnomaly detectionBootstrap aggregatingDecision tree learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
SECODA: Segmentation- and Combination-Based Detection of Anomalies
This study introduces SECODA, a novel general-purpose unsupervised non-parametric anomaly detection algorithm for datasets… 
Review
2016
Review
2016
Random Subspace Method for high-dimensional regression with the R package regRSM
Model selection and variable importance assessment in high-dimensional regression are among the most important tasks in… 
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
Random Subspace Method for Gait Recognition
Over fitting is a common problem for gait recognition algorithms when gait sequences in gallery for training are acquired under a… 
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… 
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
A Novel Gene Ranking Algorithm Based on Random Subspace Method
Gene selection is to select the most informative genes from the whole gene set. It's an important preprocessing procedure for the… 
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… 
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