SHOGUN 0.4.0
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SHOGUN 0.4.0 Ranking & Summary
File size:
0.57 MB
Platform:
Any Platform
License:
GPL (GNU General Public License)
Price:
Downloads:
833
Date added:
2007-08-02
SHOGUN 0.4.0 description
SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). The project provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations.
Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.
Enhancements:
- This release adds support for the following new methods: SubgradientSVM, GMNPSVM (multiclass b-SVM), SubgradientLPM, CplexLPM, LPBoost (for LPM), and SVMLin.
- Furthermore, linadd speedups support for GPDTSVM was implemented.
- The code underwent major cleanups and (minor) fixes.
Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.
Enhancements:
- This release adds support for the following new methods: SubgradientSVM, GMNPSVM (multiclass b-SVM), SubgradientLPM, CplexLPM, LPBoost (for LPM), and SVMLin.
- Furthermore, linadd speedups support for GPDTSVM was implemented.
- The code underwent major cleanups and (minor) fixes.
SHOGUN 0.4.0 Screenshot
SHOGUN 0.4.0 Keywords
SHOGUN
SVM
SHOGUN 0.4.0
machine learning toolbox
machine learning
learning toolbox
machine
toolbox
learning
0.4.0
SHOGUN 0.4.0
Artificial Intelligence
Science and Engineering
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SHOGUN 0.4.0 Copyright
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