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| Artikel-Nr.: 5667A-9783319834627 Herst.-Nr.: 9783319834627 EAN/GTIN: 9783319834627 |
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 | This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on "Additional Topics" has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance. Weitere Informationen:  |  | Author: | Jayadeva; Reshma Khemchandani; Suresh Chandra | Verlag: | Springer International Publishing | Sprache: | eng |
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 | Weitere Suchbegriffe: maschinenbau und fertigungstechnik, Computational Intelligence; Machine Learning; TWSVM; Twin Support Vector Machines; Unsupervised and Semi-Supervised Learning; support vector machines, Computational Intelligence, Machine Learning, Support Vector Machines, Twin Support Vector Machines, TWSVM, Unsupervised and Semi-Supervised Learning |
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