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Tytuł: Solving Support Vector Machine with Many Examples, Journal of Telecommunications and Information Technology, 2010, nr 3

Autor:

Białoń, Paweł

Data wydania:

2010, nr 3

Typ zasobu:

artykuł

Opis:

Various methods of dealing with linear support vector machine (SVM) problems with a large number of examples are presented and compared. The author believes that some interesting conclusions from this critical analysis applies to many new optimization problems and indicates in which direction the science of optimization will branch in the future. This direction is driven by the automatic collection of large data to be analyzed, and is most visible in telecommunications. A stream SVM approach is proposed, in which the data substantially exceeds the available fast random access memory (RAM) due to a large number of examples. Formally, the use of RAM is constant in the number of examples (though usually it depends on the dimensionality of the examples space). It builds an inexact polynomial model of the problem. Another author’s approach is exact. It also uses a constant amount of RAM but also auxiliary disk files, that can be long but are smartly accessed. This approach bases on the cutting plane method, similarly as Joachims’ method (which, however, relies on early finishing the optimization).

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1057

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

data mining network failure detection concept drift stream processing support vector machines convex optimization

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

13 mar 2012

Data dodania obiektu:

13 mar 2012

Liczba wyświetleń treści obiektu:

99

Wszystkie dostępne wersje tego obiektu:

https://bc.itl.waw.pl/publication/1175

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Nazwa wydania Data
Białoń, Paweł, Solving Support Vector Machine with Many Examples, Journal of Telecommunications and Information Technology, 2010, nr 3 13 mar 2012

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

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biblioteka@il-pib.pl

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