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 physicochemicaland biological systems. It is of growing interest to chemists and has been applied to problems in such areas as food quality control, chemical reaction monitoring, metabolite analysis, QSAR/QSPR, and toxicity. Requiring minimal mathematical background, this easy-to-understand book presents the theory of SVMs. It includes simple examples of chemical and OMICS data to demonstrate the performance of SVMs and compares SVMs to other traditional classification/regression methods.

• ISBN: 978-1-4398-2127-5
• Editorial: CRC Press
• Encuadernacion: Cartoné
• Fecha Publicación: 01/04/2011
• Nº Volúmenes: 1
• Idioma: Inglés