Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/358609
| Title: | Support Vector Machines Applications |
| Authors: | Ma, Yunqian.;Guo, Guodong. |
| subject: | Engineering;Computer network architectures.;Computer Communication Networks.;Physics;Telecommunication.;Engineering;Signal, Image and Speech Processing.;Computer Communication Networks.;Complexity.;Computational Intelligence.;Computer Systems Organizat;TK7882.S65 |
| Year: | 2014 |
| place: | Cham |
| Publisher: | Springer International Publishing :. Imprint: Springer, |
| Abstract: | Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances. |
| Description: | Printed edition: 9783319022994. |
| URI: | http://46.100.53.162/handle/Ebook/59781 http://localhost/handle/Hannan/358609 |
| ISBN: | 9783319023007. 9783319022994 (print) |
| Appears in Collections: | Electronic |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319022994.pdf | 8.28 MB | Adobe PDF |  Preview File |
| Title: | Support Vector Machines Applications |
| Authors: | Ma, Yunqian.;Guo, Guodong. |
| subject: | Engineering;Computer network architectures.;Computer Communication Networks.;Physics;Telecommunication.;Engineering;Signal, Image and Speech Processing.;Computer Communication Networks.;Complexity.;Computational Intelligence.;Computer Systems Organizat;TK7882.S65 |
| Year: | 2014 |
| place: | Cham |
| Publisher: | Springer International Publishing :. Imprint: Springer, |
| Abstract: | Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances. |
| Description: | Printed edition: 9783319022994. |
| URI: | http://46.100.53.162/handle/Ebook/59781 http://localhost/handle/Hannan/358609 |
| ISBN: | 9783319023007. 9783319022994 (print) |
| Appears in Collections: | Electronic |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319022994.pdf | 8.28 MB | Adobe PDF | Preview File |
| Title: | Support Vector Machines Applications |
| Authors: | Ma, Yunqian.;Guo, Guodong. |
| subject: | Engineering;Computer network architectures.;Computer Communication Networks.;Physics;Telecommunication.;Engineering;Signal, Image and Speech Processing.;Computer Communication Networks.;Complexity.;Computational Intelligence.;Computer Systems Organizat;TK7882.S65 |
| Year: | 2014 |
| place: | Cham |
| Publisher: | Springer International Publishing :. Imprint: Springer, |
| Abstract: | Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances. |
| Description: | Printed edition: 9783319022994. |
| URI: | http://46.100.53.162/handle/Ebook/59781 http://localhost/handle/Hannan/358609 |
| ISBN: | 9783319023007. 9783319022994 (print) |
| Appears in Collections: | Electronic |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319022994.pdf | 8.28 MB | Adobe PDF | Preview File |