DTMKL source code and examples
2016-08-23
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The algorithm in a reproducing kernel Hilbert space, based on fully considering the minimization of mean difference distribution and scatter difference between the areas, the model based on the structural risk minimization, proposes a domain adaptation kernel support vector machine
(Kernel support vector machine for domain adaptation, DAKSVM) and least square paradigm, by seeking a feature transform, make in ensuring maximum partition the training data at the same time, the realization of field distribution between different
Distance full minimization, so as to realize the domain adaptation learning.
(Kernel support vector machine for domain adaptation, DAKSVM) and least square paradigm, by seeking a feature transform, make in ensuring maximum partition the training data at the same time, the realization of field distribution between different
Distance full minimization, so as to realize the domain adaptation learning.
matlab
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DTMKL
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