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Semi-Supervised Active Learning for Support Vector Machines: A Novel
  Approach that Exploits Structure Information in Data
v1v2 (latest)

Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data

13 October 2016
Tobias Reitmaier
A. Calma
Bernhard Sick
ArXiv (abs)PDFHTML

Papers citing "Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data"

2 / 2 papers shown
Title
A Survey on Cost Types, Interaction Schemes, and Annotator Performance
  Models in Selection Algorithms for Active Learning in Classification
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde
Denis Huseljic
Bernhard Sick
A. Calma
89
25
0
23 Sep 2021
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach
D. Kottke
M. Herde
Christoph Sandrock
Denis Huseljic
G. Krempl
Bernhard Sick
35
21
0
02 Jun 2020
1