Experimentally optimal ν in support vector regression for different noise models and parameter settings

Athanassia Chalimourda^*, Bernhard Schölkopf, Alex J. Smola

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

4 Citations (Scopus)

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@article{8a27506119c54a188673c0e37216d951,

title = "Experimentally optimal ν in support vector regression for different noise models and parameter settings",

author = "Athanassia Chalimourda and Bernhard Sch{\"o}lkopf and Smola, {Alex J.}",

year = "2005",

month = mar,

doi = "10.1016/j.neunet.2004.11.001",

language = "English",

volume = "18",

pages = "205",

journal = "Neural Networks",

issn = "0893-6080",

publisher = "Elsevier Ltd.",

number = "2",

}

TY - JOUR

T1 - Experimentally optimal ν in support vector regression for different noise models and parameter settings

AU - Chalimourda, Athanassia

AU - Schölkopf, Bernhard

AU - Smola, Alex J.

PY - 2005/3

Y1 - 2005/3

UR - http://www.scopus.com/inward/record.url?scp=15944428913&partnerID=8YFLogxK

U2 - 10.1016/j.neunet.2004.11.001

DO - 10.1016/j.neunet.2004.11.001

M3 - Letter

SN - 0893-6080

VL - 18

SP - 205

JO - Neural Networks

JF - Neural Networks

IS - 2

ER -