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1993, Wiley series in probability and mathematical statistics., ISBN 047161971X, xxiii, 454
Book
Neural Networks, ISSN 0893-6080, 07/2015, Volume 67, pp. 140 - 150
The ν-Support Vector Regression (ν-SVR) is an effective regression learning algorithm, which has the advantage of using a parameter ν on controlling the number... 
Incremental learning | [formula omitted]-Support Vector Regression | Support vector machine | Online learning | ν-Support Vector Regression | Linear Models | Algorithms | Support Vector Machine | Machine Learning | Humans | Normal Distribution
Journal Article
2011, ISBN 9781439821275, x, 201
Book
Methods in molecular biology (Clifton, N.J.), ISSN 1064-3745, 2010, Volume 609, pp. 223 - 239
The Support Vector Machine (SVM) is a widely used classifier in bioinformatics. Obtaining the best results with SVMs requires an understanding of their... 
Algorithms | Artificial Intelligence | Computational Biology | Data Mining | Linear Models | Software | Models, Statistical | Nonlinear Dynamics | Normal Distribution | Databases, Factual
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2018, Volume 315, pp. 345 - 361
The recently proposed multi-weight vector projection support vector machine (EMVSVM) is an excellent multi-projections classifier. However, the formulation of... 
Outliers | norm ratio optimization | Multiple projections | Support vector machine | Multi-weight vector projections | DIAGNOSIS | SEMI-SUPERVISED CLASSIFICATION | LINEAR DISCRIMINANT-ANALYSIS | SVM | L-1-norm ratio optimization | L1-NORM MAXIMIZATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 05/2014, Volume 36, Issue 5, pp. 984 - 997
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 09/2018, Volume 29, Issue 9, pp. 4494 - 4503
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 2010, Volume 37, Issue 12, pp. 8659 - 8666
Journal Article
Pattern Recognition, ISSN 0031-3203, 06/2012, Volume 45, Issue 6, pp. 2299 - 2307
Journal Article
Annals of Operations Research, ISSN 0254-5330, 5/2014, Volume 216, Issue 1, pp. 229 - 255
Journal Article
Renewable Energy, ISSN 0960-1481, 01/2016, Volume 85, pp. 790 - 809
In this paper, a hybrid methodology based on Support Vector Regression for wind speed forecasting is proposed. Using the autoregressive model called Time Delay... 
Support vector regression | Phase space reconstruction | Non-linear analysis | Wind speed forecasting | Genetic algorithms | GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | ENERGY | ENERGY & FUELS | STATE | MEXICO | ACCURACY | MACHINES | OAXACA | POWER PREDICTION | Models | Algorithms | Wind power | Buildings and facilities | Analysis | Methods | Genetic vectors | Machine learning
Journal Article
by Wang, XZ and Yang, ZY and Chen, X and Liu, WD
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2019, Volume 20
The growing size of modern data brings many new challenges to existing statistical inference methodologies and theories, and calls for the development of... 
REGRESSION | Linear support vector machine | BEHAVIOR | QUANTILES | CLASSIFICATION | Bahadur representation | distributed inference | asymptotic theory | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
European Journal of Operational Research, ISSN 0377-2217, 01/2014, Volume 232, Issue 1, pp. 146 - 155
► We propose a new, interpretable, SVM-based classifier for functional data. ► The proposed method is able cope with different notions of interpretability. ►... 
Linear programming | Regularization methods | Data mining | Interpretability | Functional data analysis | Classification | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | RULE EXTRACTION | SELECTION | PREDICTION | Analysis | Support vector machines | Oscillations | Classifiers | Operational research | Coefficients
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2016, Volume 52, pp. 96 - 112
Recently in Dufrenois [1], a new Fisher type contrast measure has been proposed to extract a target population in a dataset contaminated by outliers. Although... 
Outlier detection | Contrast measure | Linear programming problem | Proximal support vector machines | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2016, Volume 17, pp. 1 - 42
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 06/2017, Volume 28, Issue 6, pp. 1373 - 1385
Journal Article