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Computers & Industrial Engineering, ISSN 0360-8352, 2005, Volume 48, Issue 2, pp. 395 - 408
Journal Article
Physical Review Letters, ISSN 0031-9007, 09/2014, Volume 113, Issue 3, p. 130503
Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector... 
LOW-RANK APPROXIMATION | PHYSICS, MULTIDISCIPLINARY | ALGORITHMS | Training | Support vector machines | Algorithms | Data management | Mathematical analysis | Classification | Polynomials | Sampling
Journal Article
Pattern Recognition, ISSN 0031-3203, 01/2013, Volume 46, Issue 1, pp. 305 - 316
In this paper, we proposed a new robust twin support vector machine (called R-TWSVM) via second order cone programming formulations for classification, which... 
Twin support vector machine | Robust | Classification | Second order cone programming | REGRESSION | SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Support vector machines | Mathematical analysis | Cone classifiers | Programming | Inverse | Robustness | Pattern recognition
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 05/2013, Volume 43, pp. 74 - 81
It has been shown that the structural information of data may contain useful prior domain knowledge for training a classifier. How to apply the structural... 
Structural information of data | Twin support vector machine | Optimization | Classification | Machine learning | ROBUST | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 07/2014, Volume 44, Issue 7, pp. 1067 - 1079
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 09/2018, Volume 106, pp. 169 - 182
Journal Article
Pattern Recognition, ISSN 0031-3203, 06/2015, Volume 48, Issue 6, pp. 2110 - 2117
The problem of one-against-all support vector machines (SVMs) for multilabel classification is that a data sample may be classified into a multilabel class... 
Support vector machines | Training | Multilabel classification | Pattern classification | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Neural Networks, ISSN 0893-6080, 11/2012, Volume 35, pp. 46 - 53
Journal Article
Computer Networks, ISSN 1389-1286, 2009, Volume 53, Issue 14, pp. 2476 - 2490
Journal Article
Information Sciences, ISSN 0020-0255, 04/2014, Volume 263, pp. 22 - 35
In this paper, we propose a nonparallel hyperplane support vector machine (NHSVM) for binary classification problems. Our proposed NHSVM is formulated by... 
Support vector machines | Nonparallel hyperplanes | Pattern recognition | Binary classification | Proximal classifiers | Proxirrial classifiers | ALGORITHM | COMPUTER SCIENCE, INFORMATION SYSTEMS | NEURAL-NETWORK | MODEL
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 05/2009, Volume 36, Issue 4, pp. 7535 - 7543
In this paper we formulate a least squares version of the recently proposed twin support vector machine (TSVM) for binary classification. This formulation... 
Support vector machines | Proximal classification | Text categorization | Pattern classification | Machine learning | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Pattern Recognition, ISSN 0031-3203, 06/2012, Volume 45, Issue 6, pp. 2299 - 2307
Journal Article