Knowledge transfer in SVM and neural networks

@article{Vapnik2017KnowledgeTI,
  title={Knowledge transfer in SVM and neural networks},
  author={Vladimir Vapnik and Rauf Izmailov},
  journal={Annals of Mathematics and Artificial Intelligence},
  year={2017},
  volume={81},
  pages={3-19}
}
The paper considers general machine learning models, where knowledge transfer is positioned as the main method to improve their convergence properties. Previous research was focused on mechanisms of knowledge transfer in the context of SVM framework; the paper shows that this mechanism is applicable to neural network framework as well. The paper describes several general approaches for knowledge transfer in both SVM and ANN frameworks and illustrates algorithmic implementations and performance… CONTINUE READING
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