Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 231,639,388 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
13 relations
Algorithm
Anomaly detection
Bootstrap aggregating
Decision tree learning
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Combining one-class support vector machines for microarray classification
B. Krawczyk
Conference on Computer Science and Information…
2013
Corpus ID: 10915218
The advance of high-throughput techniques, such as gene microarrays and protein chips have a major impact on contemporary biology…
Expand
2013
2013
Framework for Constructing Hybrid Classifier Using Weight Learning to Combine Heterogeneous Classifiers
S. Khalid
,
S. Arshad
Fifth International Conference on Computational…
2013
Corpus ID: 17730721
In this paper, we present a weight learning method introduced to learn weights on each individual classifier to construct an…
Expand
2010
2010
Directed Random Subspace Method for Face Recognition
Mehrtash Harandi
,
M. N. Ahmadabadi
,
Babak Nadjar Araabi
,
A. Bigdeli
,
B. Lovell
International Conference on Pattern Recognition
2010
Corpus ID: 16351682
With growing attention to ensemble learning, in recent years various ensemble methods for face recognition have been proposed…
Expand
2010
2010
Feature Rating by Random Subspaces for Functional Brain Mapping
Diego Sona
,
P. Avesani
Brain Informatics
2010
Corpus ID: 43378973
Functional magnetic resonance imaging is a technology allowing for a non-invasive measurement of the brain activity. Data are…
Expand
2010
2010
Random Subspace Method for One-Class Classifiers
V. Cheplygina
2010
Corpus ID: 118007329
The goal of one-class classi cation is to distinguish the target class from all the other classes using only training data of the…
Expand
2009
2009
Design of Chinese Text Categorization Classifier Based on Attribute Bagging
Xiang Zhang
,
Mingquan Zhou
,
Lili Dong
,
Na Ye
Business Intelligence and Financial Engineering
2009
Corpus ID: 1213799
In order to improve the precise rate and recall rate of Chinese text classifier, an improved bagging algorithm – attribute…
Expand
2008
2008
A Random Subspace Method for Co-Training
Zeng Xian-hua
2008
Corpus ID: 63053723
Semi-supervised learning has received much attention recently.Cotraining is a kind of semi-supervised learning method which uses…
Expand
2007
2007
An Improved Random Subspace Method and Its Application to EEG Signal Classification
Shiliang Sun
International Workshop on Multiple Classifier…
2007
Corpus ID: 41630745
Ensemble learning is one of the principal current directions in the research of machine learning. In this paper, subspace…
Expand
2007
2007
A Novel Gene Ranking Algorithm Based on Random Subspace Method
Ruichu Cai
,
Z. Hao
,
Wen Wen
International Joint Conference on Neural Networks
2007
Corpus ID: 8022492
Gene selection is to select the most informative genes from the whole gene set. It's an important preprocessing procedure for the…
Expand
2007
2007
Two-Dimensional Random Subspace Analysis for face recognition
P. Sanguansat
,
W. Asdornwised
,
S. Marukatat
,
S. Jitapunkul
International Symposium on Communications and…
2007
Corpus ID: 16585353
In this paper, we proposed a novel technique for face recognition using Two-Dimensional Random Subspace Analysis (2DRSA), based…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE