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EnsembleSVM: A Library for Ensemble Learning Using Support Vector
  Machines

EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines

4 March 2014
Marc Claesen
F. Smet
Johan A. K. Suykens
B. De Moor
    VLM
ArXiv (abs)PDFHTML

Papers citing "EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines"

7 / 7 papers shown
Title
LCS Graph Kernel Based on Wasserstein Distance in Longest Common
  Subsequence Metric Space
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
Jianming Huang
Zhongxi Fang
Hiroyuki Kasai
52
20
0
07 Dec 2020
Faster Support Vector Machines
Faster Support Vector Machines
Sebastian Schlag
Matthias Schmitt
Christian Schulz
84
27
0
20 Aug 2018
liquidSVM: A Fast and Versatile SVM package
liquidSVM: A Fast and Versatile SVM package
Ingo Steinwart
P. Thomann
VLM
79
39
0
22 Feb 2017
Algebraic multigrid support vector machines
Algebraic multigrid support vector machines
Ehsan Sadrfaridpour
S. Jeereddy
Ken E. Kennedy
André Luckow
Talayeh Razzaghi
Ilya Safro
66
16
0
16 Nov 2016
A Strongly Quasiconvex PAC-Bayesian Bound
A Strongly Quasiconvex PAC-Bayesian Bound
Niklas Thiemann
Christian Igel
Olivier Wintenberger
Yevgeny Seldin
81
84
0
19 Aug 2016
Hyperparameter Search in Machine Learning
Hyperparameter Search in Machine Learning
Marc Claesen
B. De Moor
100
443
0
07 Feb 2015
A Robust Ensemble Approach to Learn From Positive and Unlabeled Data
  Using SVM Base Models
A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models
Marc Claesen
F. Smet
Johan A. K. Suykens
B. De Moor
NoLa
85
97
0
13 Feb 2014
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