| Description |
1 online resource |
| Series |
Computer science, technology, and applications |
|
Computer science, technology and applications.
|
| Contents |
The Support Vector Machine in Medical Imaging / Jacob E.D. Levman -- A SVM-Based Regression Model to Study the Air Quality in the Urban Area of the City of Oviedo (Spain) / P.J. García Nieto, E.F. Combarro, J.J. del Coz Díaz, F.P. Álvarez Rabanal, E. Montañés -- Image Interpolation Using Support Vector Machines / Liyong Ma, Yi Shen, Jiachen Ma -- Utilization of Support Vector Machine (SVM) for Prediction of Ultimate Capacity of Driven Piles in Cohesionless Soils / Pijush Samui, S.K. Sekar -- Support Vector Machines in Medical Classification Tasks / David Gil, Magnus Johnsson -- Kernel Latent Semantic Analysis using Term Fusion Kernels / Alberto Munoz, Javier Gonzalez, Javier Arriero -- SVR for Time Series Prediction / M. Serdar Yumlu, Fikret S. Gurgen -- Application of Neural Networks and Support Vector Machines in Coding Theory and Practice / Stevan M. Berber, Johnny Kao -- Pattern Recognition for Machine Fault Diagnosis using Support Vector Machines / Bo-Suk Yang, Achmad Widodo |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Description based on print version record |
| Subject |
Support vector machines.
|
|
COMPUTERS -- Optical Data Processing.
|
|
Support vector machines
|
| Form |
Electronic book
|
| Author |
Boyle, Brandon H
|
| LC no. |
2020678881 |
| ISBN |
9781622570782 |
|
1622570782 |
|
