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Mathematical Themes in Economics, Machine Learning, and Bioinformatics
(2010)
  • Matt Bogard , Western Kentucky University
Abstract
Graduate students in economics are often introduced to some very useful mathematical tools that many outside the discipline may not associate with training in economics. This essay looks at some of these tools and concepts, including constrained optimization, separating hyperplanes, supporting hyperplanes, and ‘duality.’ Applications of these tools are explored including topics from machine learning and bioinformatics.
Keywords
  • machine learning aplied economics bioinformatics
Publication Date
2010
Citation Information
Matt Bogard. "Mathematical Themes in Economics, Machine Learning, and Bioinformatics" (2010)
Available at: http://works.bepress.com/matt_bogard/7/