Support Vector Machines and Their Application in Chemistry and Biotechnology
eBook - PDF

Support Vector Machines and Their Application in Chemistry and Biotechnology

  1. 211 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Support Vector Machines and Their Application in Chemistry and Biotechnology

About this book

Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar wi

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Yes, you can access Support Vector Machines and Their Application in Chemistry and Biotechnology by Yizeng Liang, Qing-Song Xu, Hong-Dong Li, Dong-Sheng Cao in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Author Biographies
  5. Chapter 1: Overview of support vector machines
  6. Chapter 2: Support vector machines for classification and regression
  7. Chapter 3: Kernel methods
  8. Chapter 4: Ensemble learning of support vector machines
  9. Chapter 5: Support vector machines applied to near-infrared spectroscopy
  10. Chapter 6: Support vector machines and QSAR/QSPR
  11. Chapter 7: Support vector machines applied to traditional Chinese medicine
  12. Chapter 8: Support vector machines applied to OMICS study
  13. Back Cover