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Bag-of-Features model for image classification (Octave)
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faridcher/ml-course 168 0 0 over 2 years ago 0 0 R
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liquidSVM/liquidSVM 45 0 3 over 6 years ago 8 September 14, 2019 11 agpl-3.0 C++
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
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A MATLAB/OCTAVE library for Multi-Label Classification
saikatbsk/bagOfFeatures 5 0 0 over 9 years ago 0 0 gpl-3.0 Matlab
Bag-of-Features model for image classification (Octave)
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