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IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 07/2015, Volume 26, Issue 7, pp. 1403 - 1416
Journal Article
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
Neurocomputing, ISSN 0925-2312, 07/2016, Volume 197, pp. 53 - 68
Journal Article
Neural Networks, ISSN 0893-6080, 2010, Volume 23, Issue 3, pp. 365 - 372
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 11/2013, Volume 28, Issue 4, pp. 4356 - 4364
This paper presents a generic strategy for short-term load forecasting (STLF) based on the support vector regression machines (SVR). Two important improvements... 
Support vector machines | Accuracy | Load forecasting | Predictive models | Data models | Short-term load forecasting | Optimization | Load modeling | support vector machines | TUTORIAL | ENGINEERING, ELECTRICAL & ELECTRONIC | Measurement | Usage | Innovations | Voltage | Regression analysis | Electric power systems | Mathematical optimization
Journal Article
International Journal of Electrical Power and Energy Systems, ISSN 0142-0615, 05/2015, Volume 67, pp. 431 - 438
Journal Article
Journal Article
ACM Transactions on Intelligent Systems and Technology (TIST), ISSN 2157-6904, 04/2011, Volume 2, Issue 3, pp. 1 - 27
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily... 
Classification LIBSVM optimization regression support vector machines SVM | Algorithms | WORKING SET SELECTION | COMPUTER SCIENCE, INFORMATION SYSTEMS | Experimentation | Performance | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal Article
Statistics and Computing, ISSN 0960-3174, 8/2004, Volume 14, Issue 3, pp. 199 - 222
Journal Article