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Some Notes on Applied Mathematics for Machine Learning

  • Christopher J. C. Burges
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3176)

Abstract

This chapter describes Lagrange multipliers and some selected subtopics from matrix analysis from a machine learning perspective. The goal is to give a detailed description of a number of mathematical constructions that are widely used in applied machine learning.

Keywords

Machine Learn Lagrange Multiplier Distance Matrix Maximum Entropy Null Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Christopher J. C. Burges
    • 1
  1. 1.Microsoft ResearchRedmondUSA

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