machine learning - Late fusion step of classification using libLinear -

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i doing classification work use liblinear kernel these days. , have trained 2 type of feature sets 2 models prediction query input. wish utilize late fusion combine 2 result models, change code of liblinear can decision score different classes. got 2 sets of score determine class query should in.

is there standard way "late fusion" or intuitively add 2 scores of each classes , choose class highest score candidate?

the standard way combine multiple classifiers weighted sum of scores of individual classifiers. of course, have problem of specifying weight coefficients. there different possibilities:

  • set weights uniformly
  • set weights proportional performance of classifier
  • train new classifier takes scores input

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