Multivariate Analysis from a Statistical Point of View
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{cranmer-2003,
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author = "Kyle S. Cranmer",
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title = "Multivariate Analysis from a Statistical Point of
View",
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booktitle = "Phystat2003",
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year = "2003",
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editor = "Louis Lyons and Richard Mount and Rebecca Reitmeyer",
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pages = "211--214",
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address = "SLAC, Stanford, USA",
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month = sep # " 8-11",
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keywords = "genetic algorithms, genetic programming, VC
dimension",
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URL = "http://www.slac.stanford.edu/econf/C030908/papers/WEJT002.pdf",
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URL = "http://www.citebase.org/abstract?id=oai:arXiv.org:physics/0310110",
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oai = "oai:arXiv.org:physics/0402030",
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size = "4 pages",
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abstract = "Multivariate Analysis is an increasingly common tool
in experimental high energy physics; however, many of
the common approaches were borrowed from other fields.
We clarify what the goal of a multivariate algorithm
should be for the search for a new particle and compare
different approaches. We also translate the
Neyman-Pearson theory into the language of statistical
learning theory.",
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notes = "http://www.slac.stanford.edu/econf/C030908/ Talk from
PhyStat2003, Stanford, Ca, USA, September 2003, LaTeX,
1 eps figures. PSN WEJT002 Section 6 page 214 talks
about GP",
- }
Genetic Programming entries for
Kyle S Cranmer
Citations