Combining Discriminant Models with New Multi-Class SVMs

  title={Combining Discriminant Models with New Multi-Class SVMs},
  author={Yann Guermeur},
  journal={Pattern Analysis & Applications},
The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily subject to the satisfaction of strong hypotheses (weak error correlation, availability of large training sets, possibility to rerun the training procedure an arbitrary number of times, etc.). In contrast, the practitioner is frequently faced with the problem of combining a given set of pre-trained classifiers, with highly… CONTINUE READING
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