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Assessing and improving prediction and classification: theory and algorithms in C++

Detalles Bibliográficos
Autor principal: Masters, Timothy
Lenguaje:eng
Publicado: Apress 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2303507
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author Masters, Timothy
author_facet Masters, Timothy
author_sort Masters, Timothy
collection CERN
id cern-2303507
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Apress
record_format invenio
spelling cern-23035072021-04-21T18:54:52Zhttp://cds.cern.ch/record/2303507engMasters, TimothyAssessing and improving prediction and classification: theory and algorithms in C++Computing and ComputersApressoai:cds.cern.ch:23035072018
spellingShingle Computing and Computers
Masters, Timothy
Assessing and improving prediction and classification: theory and algorithms in C++
title Assessing and improving prediction and classification: theory and algorithms in C++
title_full Assessing and improving prediction and classification: theory and algorithms in C++
title_fullStr Assessing and improving prediction and classification: theory and algorithms in C++
title_full_unstemmed Assessing and improving prediction and classification: theory and algorithms in C++
title_short Assessing and improving prediction and classification: theory and algorithms in C++
title_sort assessing and improving prediction and classification: theory and algorithms in c++
topic Computing and Computers
url http://cds.cern.ch/record/2303507
work_keys_str_mv AT masterstimothy assessingandimprovingpredictionandclassificationtheoryandalgorithmsinc