Weighted random subspace method for high dimensional data classification

Statistics and Its Interface ◽

10.4310/sii.2009.v2.n2.a5 ◽

2009 ◽

Vol 2 (2) ◽

pp. 153-159 ◽

Author(s):

Xiaoye Li ◽

Hongyu Zhao

Keyword(s):

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Random Subspace ◽

Subspace Method ◽

Random Subspace Method

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Monte Carlo subspace method: An incremental approach to high-dimensional data classification

2008 19th International Conference on Pattern Recognition ◽

10.1109/icpr.2008.4761129 ◽

2008 ◽

Author(s):

Tomoya Sakai

Keyword(s):

Monte Carlo ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Subspace Method ◽

Incremental Approach

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Random Subspace Method for high-dimensional regression with the R package regRSM

Computational Statistics ◽

10.1007/s00180-016-0658-2 ◽

2016 ◽

Vol 31 (3) ◽

pp. 943-972 ◽

Author(s):

Paweł Teisseyre ◽

Robert A. Kłopotek ◽

Jan Mielniczuk

Keyword(s):

R Package ◽

High Dimensional ◽

Random Subspace ◽

Subspace Method ◽

Random Subspace Method ◽

High Dimensional Regression

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Enriching the random subspace method with margin theory – a solution for the high-dimensional classification task

Connection Science ◽

10.1080/09540091.2018.1512556 ◽

2018 ◽

Vol 30 (4) ◽

pp. 409-424 ◽

Author(s):

Hongyan Xu ◽

Tao Lin ◽

Yingtao Xie ◽

Zhi Chen

Keyword(s):

Classification Task ◽

High Dimensional ◽

Random Subspace ◽

Subspace Method ◽

Random Subspace Method ◽

Dimensional Classification

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Imbalanced data classification using random subspace method and SMOTE

The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems ◽

10.1109/scis-isis.2012.6505155 ◽

2012 ◽

Author(s):

Hsiao-Yun Huang ◽

Yi-Jhen Lin ◽

Youg-Siang Chen ◽

Hung-Yi Lu

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Random Subspace ◽

Subspace Method ◽

Random Subspace Method ◽

Imbalanced Data Classification

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A Hybrid Feature Selection Method Based on Symmetrical Uncertainty and Support Vector Machine for High-Dimensional Data Classification

Intelligent Information and Database Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54472-4_67 ◽

2017 ◽

pp. 721-727 ◽

Author(s):

Yongjun Piao ◽

Keun Ho Ryu

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

High Dimensional Data ◽

Feature Selection Method ◽

Data Classification ◽

Selection Method ◽

High Dimensional ◽

Support Vector ◽

Symmetrical Uncertainty

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A modular eigen subspace scheme for high-dimensional data classification

Future Generation Computer Systems ◽

10.1016/j.future.2003.11.003 ◽

2004 ◽

Vol 20 (7) ◽

pp. 1131-1143 ◽

Author(s):

Yang-Lang Chang ◽

Chin-Chuan Han ◽

Fan-Di Jou ◽

Kuo-Chin Fan ◽

K.S. Chen ◽

...

Keyword(s):

High Dimensional Data ◽

Data Classification ◽

High Dimensional

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High dimensional data classification and feature selection using support vector machines

European Journal of Operational Research ◽

10.1016/j.ejor.2017.08.040 ◽

2018 ◽

Vol 265 (3) ◽

pp. 993-1004 ◽

Author(s):

Bissan Ghaddar ◽

Joe Naoum-Sawaya

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Support Vector ◽

Vector Machines

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Directed Random Subspace Method for Face Recognition

2010 20th International Conference on Pattern Recognition ◽

10.1109/icpr.2010.659 ◽

2010 ◽

Author(s):

Mehrtash T. Harandi ◽

Majid Nili Ahmadabadi ◽

Babak N. Araabi ◽

Abbas Bigdeli ◽

Brian C. Lovell

Keyword(s):

Face Recognition ◽

Random Subspace ◽

Subspace Method ◽

Random Subspace Method

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Pharmacovigilance from social media: An improved random subspace method for identifying adverse drug events

International Journal of Medical Informatics ◽

10.1016/j.ijmedinf.2018.06.008 ◽

2018 ◽

Vol 117 ◽

pp. 33-43 ◽

Author(s):

Jing Liu ◽

Gang Wang

Keyword(s):

Social Media ◽

Adverse Drug Events ◽

Random Subspace ◽

Subspace Method ◽

Random Subspace Method

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The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method

Advances in Neuro-Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03040-6_111 ◽

2009 ◽

pp. 911-918 ◽

Author(s):

Alexandra Scherbart ◽

Tim W. Nattkemper

Keyword(s):

Random Subspace ◽

Subspace Method ◽

Random Subspace Method

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