COFFIN: A Computational Framework for Linear SVMs

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00175497" target="_blank" >RIV/68407700:21230/10:00175497 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
COFFIN: A Computational Framework for Linear SVMs
Original language description
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stat e-of-the-art results. Using the kernel trick, they work on several domains and even enable heterogeneous data fusion by concatenating feature spaces or multiple kernel learning. Unfortunately, they are not suited for truly large-scale applications since they suffer from the curse of supporting vectors, i.e., the speed of applying SVMs decays linearly with the number of support vectors. In this paper we develop COFFIN - a new training strategy for linear SVMs that effectively allows the use of on demand computed kernel feature spaces and virtual examples in the primal. With linear training and prediction effort this framework leverages SVM applications to truly large-scale problems: As an example, we train SVMs for human splice site recognition involving 50 million examples and sophisticated string kernels. Additionally, we learn an SVM based gende
Czech name
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Czech description
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Project
<a href="/en/project/7E10047" target="_blank" >7E10047: Humanoids with auditory and visual abilities in populated spaces</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>R - Projekt Ramcoveho programu EK

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 27th Annual International Conference on Machine Learning (ICML 2010)
ISBN
978-1-60558-907-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Omnipress
Place of publication
Madison
Event location
Haifa
Event date
Jun 21, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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