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The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised
  Training of Support Vector Machines for Classification
v1v2 (latest)

The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification

13 February 2015
Tobias Reitmaier
Bernhard Sick
ArXiv (abs)PDFHTML

Papers citing "The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification"

3 / 3 papers shown
Title
Semi-Supervised Active Learning for Support Vector Machines: A Novel
  Approach that Exploits Structure Information in Data
Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data
Tobias Reitmaier
A. Calma
Bernhard Sick
37
34
0
13 Oct 2016
Towards Automation of Knowledge Understanding: An Approach for
  Probabilistic Generative Classifiers
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers
Dominik Fisch
Christian Gruhl
Edgar Kalkowski
Bernhard Sick
S. Ovaska
TPM
23
5
0
20 May 2016
A New Vision of Collaborative Active Learning
A New Vision of Collaborative Active Learning
A. Calma
Tobias Reitmaier
Bernhard Sick
P. Lukowicz
Mark Embrechts
VLM
25
3
0
01 Apr 2015
1