Form of presentation | Conference proceedings in international journals and collections |
Year of publication | 2016 |
Язык | английский |
|
Andrianova Anastasiya Aleksandrovna, author
|
Bibliographic description in the original language |
Andrianova A.A. About decomposition approach for solving the classification
problem. 11th International Conference on «Mesh methods for boundary-value problems and applications« IOP Publishing
IOP Conf. Series: Materials Science and Engineering 158 (2016) 012006 doi:10.1088/1757-899X/158/1/012006 |
Annotation |
11th International Conference on "Mesh methods for boundary-value problems and applications" IOP Publishing IOP Conf. Series: Materials Science and Engineering |
Keywords |
Support Vector Machine, decomposition methods, mathematical programming |
The name of the journal |
11th International Conference on "Mesh methods for boundary-value problems and applications" IOP Publishing IOP Conf. Series: Materials Science and Engineering
|
URL |
http://iopscience.iop.org/article/10.1088/1757-899X/158/1/012006/pdf |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=153571&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Andrianova Anastasiya Aleksandrovna |
ru_RU |
dc.date.accessioned |
2016-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2016-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2016 |
ru_RU |
dc.identifier.citation |
Andrianova A.A. About decomposition approach for solving the classification
problem. 11th International Conference on «Mesh methods for boundary-value problems and applications« IOP Publishing
IOP Conf. Series: Materials Science and Engineering 158 (2016) 012006 doi:10.1088/1757-899X/158/1/012006 |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=153571&p_lang=2 |
ru_RU |
dc.description.abstract |
11th International Conference on "Mesh methods for boundary-value problems and applications" IOP Publishing IOP Conf. Series: Materials Science and Engineering |
ru_RU |
dc.description.abstract |
This article describes the features of the application of an algorithm with using of
decomposition methods for solving the binary classification problem of constructing a linear
classifier based on Support Vector Machine method. Application of decomposition reduces the
volume of calculations, in particular, due to the emerging possibilities to build parallel versions
of the algorithm, which is a very important advantage for the solution of problems with big
data. The analysis of the results of computational experiments conducted using the
decomposition approach. The experiment use known data set for binary classification problem |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Support Vector Machine |
ru_RU |
dc.subject |
decomposition methods |
ru_RU |
dc.subject |
mathematical programming |
ru_RU |
dc.title |
About decomposition approach for solving the classification
problem |
ru_RU |
dc.type |
Conference proceedings in international journals and collections |
ru_RU |
|