Multivariate analysis and the search for new particles

Kyle Cranmer

Research output: Contribution to journalConference articlepeer-review

Abstract

A general setting is presented for the evaluation of several common multivariate analysis techniques including neural networks, support vector machines, and genetic programming. Various theoretical results from pure mathematics and statistical learning theory are presented. Special attention is placed on the optimization criterion for the search for new particles.

Original languageEnglish (US)
Pages (from-to)6049-6068
Number of pages20
JournalActa Physica Polonica B
Volume34
Issue number12
StatePublished - Dec 2003
Externally publishedYes
EventXLIII Cracow School of Theoretical Physics and Workshop on Applications of Neural Networks - Zakopane, Poland
Duration: May 30 2003Jun 8 2003

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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