Support Vector Machines Applications
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 l...
Guardado en:
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
|
| Materias: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-3-319-02300-7 |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 02852Cam#a22005175i#4500 | ||
|---|---|---|---|
| 001 | INGC-EBK-000273 | ||
| 003 | AR-LpUFI | ||
| 005 | 20220927105743.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 140212s2014 gw | s |||| 0|eng d | ||
| 020 | |a 9783319023007 | ||
| 024 | 7 | |a 10.1007/978-3-319-02300-7 |2 doi | |
| 050 | 4 | |a TK5102.9 | |
| 050 | 4 | |a TA1637-1638 | |
| 050 | 4 | |a TK7882.S65 | |
| 072 | 7 | |a TTBM |2 bicssc | |
| 072 | 7 | |a UYS |2 bicssc | |
| 072 | 7 | |a TEC008000 |2 bisacsh | |
| 072 | 7 | |a COM073000 |2 bisacsh | |
| 245 | 1 | 0 | |a Support Vector Machines Applications |h [libro electrónico] / |c edited by Yunqian Ma, Guodong Guo. |
| 260 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2014. | |
| 300 | |a vii, 302 p. : |b il. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Augmented-SVM for gradient observations with application to learning multiple-attractor dynamics -- Multi-class Support Vector Machine -- Novel Inductive and Transductive Transfer Learning Approaches Based on Support Vector Learning -- Security Evaluation of Support Vector Machines in Adversarial Environments -- Application of SVMs to the Bag-of-features Modelâ_" A Kernel Perspective -- Support Vector Machines for Neuroimage Analysis: Interpretation from Discrimination -- Kernel Machines for Imbalanced Data Problem and the Use in Biomedical Applications -- Soft Biometrics from Face Images using Support Vector Machines. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Engineering. |9 259622 | |
| 650 | 0 | |a Computer organization. |9 259623 | |
| 650 | 0 | |a Computer communication systems. |9 259796 | |
| 650 | 0 | |a Computational intelligence. |9 259845 | |
| 650 | 0 | |a Complexity, Computational. |9 259624 | |
| 650 | 0 | |a Electrical engineering. |9 259797 | |
| 650 | 2 | 4 | |a Signal, Image and Speech Processing. |9 259616 |
| 650 | 2 | 4 | |a Computer Communication Networks. |9 259776 |
| 650 | 2 | 4 | |a Communications Engineering, Networks. |9 259799 |
| 700 | 1 | |a Ma, Yunqian, |e ed. |9 260634 | |
| 700 | 1 | |a Guo, Guodong, |e ed. |9 260635 | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319022994 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/978-3-319-02300-7 |
| 912 | |a ZDB-2-ENG | ||
| 929 | |a COM | ||
| 942 | |c EBK |6 _ | ||
| 950 | |a Engineering (Springer-11647) | ||
| 999 | |a SKV |c 27701 |d 27701 | ||