Support Vector Machines Applications
Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications.
| ISBN: | 9783319022994 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 302 |
| Produktart: | Gebunden |
| Herausgeber: | Guo, Guodong Ma, Yunqian |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 03.03.2014 |
| Schlagworte: | Business Intelligence Computer Vision Kernel Machines Large Margin Classifier Learning in the Small Sample Case Learning with High Dimensionality Machine Learning Pattern Recognition Support Vector Machine complexity |
Yunqian Ma is Senior Principal Research Scientist at Honeywell Labs. Guodong Guo is an Assistant Professor at West Virginia University.