SHOGUN is a machine learning toolbox, which is designed for
unified large-scale learning for a broad range of feature types and learning settings. It
offers a considerable number of machine learning models such as support vector machines
for classification and regression, hidden Markov models, multiple kernel learning, linear
discriminant analysis, linear programming machines, and perceptrons. Most of the specific
algorithms are able to deal with several different data classes, including de
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