Support Vector Machines with the Ramp Loss and the Hard Margin Loss

Fast Online Training of Ramp Loss Support Vector Machines

2009 Ninth IEEE International Conference on Data Mining ◽

10.1109/icdm.2009.53 ◽

2009 ◽

Cited By ~ 2

Author(s):

Zhuang Wang ◽

Slobodan Vucetic

Keyword(s):

Support Vector Machines ◽

Online Training ◽

Support Vector ◽

Vector Machines ◽

Heuristic approaches for support vector machines with the ramp loss

Optimization Letters ◽

10.1007/s11590-013-0630-9 ◽

2013 ◽

Vol 8 (3) ◽

pp. 1125-1135 ◽

Cited By ~ 3

Author(s):

Emilio Carrizosa ◽

Amaya Nogales-Gómez ◽

Dolores Romero Morales

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Heuristic Approaches ◽

Vector Machines ◽

Tightening big Ms in integer programming formulations for support vector machines with ramp loss

European Journal of Operational Research ◽

10.1016/j.ejor.2020.03.023 ◽

2020 ◽

Vol 286 (1) ◽

pp. 84-100

Author(s):

Marta Baldomero-Naranjo ◽

Luisa I. Martínez-Merino ◽

Antonio M. Rodríguez-Chía

Keyword(s):

Integer Programming ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines

Neural Processing Letters ◽

10.1007/s11063-015-9456-z ◽

2015 ◽

Vol 43 (3) ◽

pp. 887-903 ◽

Cited By ~ 2

Author(s):

Xiangming Xi ◽

Xiaolin Huang ◽

Johan A. K. Suykens ◽

Shuning Wang

Keyword(s):

Linear Programming ◽

Support Vector Machines ◽

Coordinate Descent ◽

Support Vector ◽

Descent Algorithm ◽

Coordinate Descent Algorithm ◽

Vector Machines ◽

Programming Support ◽

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 ◽

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

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 ◽

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 ◽

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 ◽

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 ◽