Low false positive learning with support vector machines

2005 ◽

Vol 1281 ◽

pp. 1109-1114 ◽

Cited By ~ 9

Author(s):

Luyin Zhao ◽

Lilla Boroczky ◽

K.P. Lee

Keyword(s):

Genetic Algorithms ◽

Support Vector Machines ◽

False Positive ◽

Lung Nodule ◽

Support Vector ◽

False Positive Reduction ◽

Vector Machines

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False-positive reduction in mammography using multiscale spatial Weber law descriptor and support vector machines

Neural Computing and Applications ◽

10.1007/s00521-013-1450-7 ◽

2013 ◽

Vol 25 (1) ◽

pp. 83-93 ◽

Cited By ~ 15

Author(s):

Muhammad Hussain

Keyword(s):

Support Vector Machines ◽

False Positive ◽

Support Vector ◽

False Positive Reduction ◽

Vector Machines

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On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2012.46 ◽

2013 ◽

Vol 25 (5) ◽

pp. 1083-1096 ◽

Cited By ~ 10

Author(s):

Shan-Hung Wu ◽

Keng-Pei Lin ◽

Hao-Heng Chien ◽

Chung-Min Chen ◽

Ming-Syan Chen

Keyword(s):

Support Vector Machines ◽

False Positive ◽

Support Vector ◽

Vector Machines

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Low false positive learning with support vector machines

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2016.03.007 ◽

2016 ◽

Vol 38 ◽

pp. 340-350 ◽

Cited By ~ 3

Author(s):

Daniel Moraes ◽

Jacques Wainer ◽

Anderson Rocha

Keyword(s):

Support Vector Machines ◽

False Positive ◽

Support Vector ◽

Vector Machines

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Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i12.10964 ◽

2016 ◽

Vol 11 (12) ◽

pp. 1147

Author(s):

Abderrahmane Bendahmane ◽

Abdelkader Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Term Weighting ◽

Web Documents ◽

Vector Machines

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Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00236 ◽

2010 ◽

Vol 30 (1) ◽

pp. 236-239 ◽

Cited By ~ 1

Author(s):

Liang XU

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Chemical Process ◽

Least Square ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

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Combining Market and Accounting-Based Models for Credit Scoring Using a Classification Scheme Based on Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.2156220 ◽

2012 ◽

Cited By ~ 1

Author(s):

Dimitrios Niklis ◽

Michael Doumpos ◽

C. Zopounidis

Keyword(s):

Support Vector Machines ◽

Classification Scheme ◽

Credit Scoring ◽

Support Vector ◽

Vector Machines

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Reconstructing U.S. Recession Probabilities Using Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.2779889 ◽

2016 ◽

Author(s):

Roman Armani Garagulagian

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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C wedge(1,1) Approximations of Generalized Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.616601 ◽

2002 ◽

Author(s):

Davide La Torre ◽

Carlo Vercellis

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines

10.21528/cbic2017-78 ◽

2018 ◽

Author(s):

Nelson Marcelo Romero Aquino ◽

Matheus Gutoski ◽

Leandro Takeshi Hattori ◽

Heitor Silvério Lopes

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Soft Biometrics ◽

Vector Machines

Download Full-text

Low false positive learning with support vector machines

False positive reduction for lung nodule CAD using support vector machines and genetic algorithms

False-positive reduction in mammography using multiscale spatial Weber law descriptor and support vector machines

On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines

Low false positive learning with support vector machines

Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Combining Market and Accounting-Based Models for Credit Scoring Using a Classification Scheme Based on Support Vector Machines

Reconstructing U.S. Recession Probabilities Using Support Vector Machines

C wedge(1,1) Approximations of Generalized Support Vector Machines

Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines

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