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Support Vector Machines and Their Application in Chemistry and Biotechnology
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Overview of support vector machines. Support vector machines for classification and regression. Kernel methods. Ensemble learning of support vector machines. Support vector machines applied to near-infrared spectroscopy. Support vector machines and QSAR/QSPR. Support vector machines applied to traditional Chinese medicine. Support vector machines applied to OMICS study. Index.

About the Author

Yizeng Liang and Qing-Song Xu are with Central South University in Changsha, China.

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