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Support vector machines and their application in chemistry and biotechnology /
"Support vector machines (SVMs), a promising machine learning method, is a powerful tool for chemical data analysis and for modeling complex physicochemical and biological systems. It is of growing interest to chemists and has been applied to problems in such areas as food quality control, chem...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- ch. 1. Overview of support vector machines
- ch. 2. Support vector machines for classification and regression
- ch. 3. Kernel methods
- ch. 4. Ensemble learning of support vector machines
- ch. 5. Support vector machines applied to near-infrared spectroscopy
- ch. 6. Support vector machines and QSAR/QSPR
- ch. 7. Support vector machines applied to traditional Chinese medicine
- ch. 8. Support vector machines applied to OMICS study.