Mathematical Programming in Machine Learning (Springer Optimization and Its Applications, #808)

by O. Erhun Kundakcioglu and Panos M. Pardalos

0 ratings • 0 reviews • 0 shelved
Book cover for Mathematical Programming in Machine Learning

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

There have been dramatic improvements in the algorithms and techniques used in machine learning over the last twenty years. Numerous methods have been developed that utilize mathematical programming techniques that are well known to operations researchers. Because understanding of the fundamentals of mathematical programming is essential for theoretical computer scientists, this book intends to provide this audience a strong introduction to the analysis and mathematical programming techniques used in machine learning. Additionally, the book offers operations researchers various examples of machine learning's applications to optimization and modeling. Its Primary Audience for Work are: Researchers and practitioners in fields of Computer Science and Operations Research.
  • ISBN10 0387928561
  • ISBN13 9780387928562
  • Publish Date 29 March 2013
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Edition 2012
  • Format Hardcover
  • Pages 250
  • Language English