Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

10

IJON
2006

favoriteEmaildiscussreport

119views more IJON 2006»

Support vector machine for functional data classification

13 years 4 months ago

Support vector machine for functional data classification

Download www.dice.ucl.ac.be

Abstract. Functional data analysis is a growing research field and numerous works present a generalization of the classical statistical methods to function classification or regression. In this paper, we focus on the problem of using Support Vector Machines (SVMs) for curve discrimination. We recall that important theoretical results for SVMs apply in functional space and propose simple functional kernels that take advantage of the nature of the data. Those kernels are illustrated on a spectrometric real world benchmark.

Fabrice Rossi, Nathalie Villa

Real-time Traffic

Classical Statistical Methods | Functional Data Analysis | IJON 2006 | Simple Functional Kernels |

claim paper

Related Content

» Parallelization of multicategory support vector machines PMCSVM for classifying microarray...

» Applying Support Vector Machines for Gene ontology based gene function prediction

» Mining protein function from text using termbased support vector machines

» Classification of Gprotein coupled receptors based on support vector machine with maximum ...

» Hybrid huberized support vector machines for microarray classification

» Support Vector Machine Classification with Indefinite Kernels

» Fast Support Vector Machine Classification of Very Large Datasets

» Robust feature induction for support vector machines

» Kernel Logistic Regression and the Import Vector Machine

Post Info
More Details (n/a)

Added	12 Dec 2010
Updated	12 Dec 2010
Type	Journal
Year	2006
Where	IJON
Authors	Fabrice Rossi, Nathalie Villa

Comments (0)