Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.

Dominik Lang; Daniel Kottke; Georg Krempl; Myra Spiliopoulou

Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.

Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou

Sub Algorithmic Data Analysis

Research output: Contribution to conference › Paper › Academic

Original language	English
Pages	25-34
Publication status	Published - 2016

Bibliographical note

DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Access to Document

https://dblp.org/rec/conf/iknow/LangKKS16

Cite this

@conference{71026834fad6433f93d1921263efa2f9,

title = "Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.",

author = "Dominik Lang and Daniel Kottke and Georg Krempl and Myra Spiliopoulou",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2016",

language = "English",

pages = "25--34",

}

TY - CONF

T1 - Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.

AU - Lang, Dominik

AU - Kottke, Daniel

AU - Krempl, Georg

AU - Spiliopoulou, Myra

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2016

Y1 - 2016

M3 - Paper

SP - 25

EP - 34

ER -