article · 2016

Support Vector Data Description for Uncertainty Data Sets

Jorge Guevara, Stephane Canu, Roberto Hirata

Cited by 0Abstract and details only

Abstract

This work shows how to estimate the support of the distribution of some data when observations in the data have uncertainties. To model uncertainties, we consider each observation of the training set to be a random vector distributed according to a distribution with first and second moments in a local vicinity. To estimate the support, we used the support vector data description method. Chance Constrain Approach • Let {xi ∼ (x̂i,Σi)}ni=1 be the training set, the probabilistic levels

Cite this paper

APA 7

Guevara, J., Canu, S., & Hirata, R. (2016). Support Vector Data Description for Uncertainty Data Sets.

MLA 9

Guevara, Jorge, et al. “Support Vector Data Description for Uncertainty Data Sets.” 2016.

Chicago

Guevara, Jorge, Stephane Canu, and Roberto Hirata. 2016. “Support Vector Data Description for Uncertainty Data Sets.”

Harvard

Guevara, J., Canu, S. and Hirata, R. (2016) ‘Support Vector Data Description for Uncertainty Data Sets’.

BibTeX

@article{guevara2016support,
  title = {{Support Vector Data Description for Uncertainty Data Sets}},
  author = {Guevara, Jorge and Canu, Stephane and Hirata, Roberto},
  year = {2016}
}

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