Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sergey Bakin"'
Publikováno v:
Scopus-Elsevier
We investigate one of the possible ways for improving Friedman’s Multivariate Adaptive Regression Splines (MARS) algorithm designed for flexible modelling of high-dimensional data. In our version of MARS called BMARS we use B-splines instead of tru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d158db54ed1abcd95abff717c5428b38
https://doi.org/10.1007/pl00022715
https://doi.org/10.1007/pl00022715
Publikováno v:
Parallel Algorithms and Applications. 15:37-55
A new parallel version of Friedman's Multivariate Adaptive Regression Splines (MARS) algorithm is discussed. By partitioning the data over the processors of a parallel computational system one achieves good parallel efficiency. Instead of using trunc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b484cc56517214e6dd7c06401bd626
https://doi.org/10.1080/01495730008947349
https://doi.org/10.1080/01495730008947349
Autor:
Peter Milne, Stephen Roberts, Rajehndra Nagappan, Markus Hegland, Graham Williams, Peter Christen, Sergey Bakin, Irfan Altas, Alonso Marquez
Publikováno v:
Large-Scale Parallel Data Mining ISBN: 9783540671947
Large-Scale Parallel Data Mining
Large-Scale Parallel Data Mining
Data Mining draws on many technologies to deliver novel and actionable discoveries from very large collections of data. The Australian Government's Cooperative Research Centre for Advanced Computational Systems (ACSys) is a link between industry and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf676fb1e654e56c11bfb2320d27ea7
https://doi.org/10.1007/3-540-46502-2_2
https://doi.org/10.1007/3-540-46502-2_2
