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Related papers:
[
198
,
210
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86
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Title:
Harmonic Function
Author:
Xiaojin Zhu (University of Wisconsin-Madison)
Description:
Matlab implementation of the harmonic function formulation of graph-based
semi-supervised learning.
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[
210
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Title:
Active Semi-Supervised Learning
Author:
Xiaojin Zhu (University of Wisconsin-Madison)
Description:
Implementation of semi-supervised learning combined with active learning. In active
learning, the algorithm chooses which examples to label in the hopes of reducing the overall amount
of data required for learning.
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[
213
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Title:
Nonparametric Transforms of Graph Kernels
Author:
Xiaojin Zhu (University of Wisconsin-Madison)
Description:
Implementation of an approach to building a kernel for semi-supervised learning. A
non-parametric kernel is derived from spectral properties of graphs of labeled and unlabeled data.
This formulation simplifies the optimization problem to be solved and can scale to large data sets.
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[
211
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S3VMS
Title:
SVM
light
Author:
Thorsten Joachims (Cornell University)
Description:
General purpose support vector machine solver. Performs transductive classification
by iteratively refining predictions on unlabeled instances.
Related papers:
[
88
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89
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Title:
SVMlin
Authors:
Vikas Sindhwani (IBM T.J. Watson Research Center), S. Sathiya Keerthi (Yahoo!
Research)
