A compact network learning model for distribution regression

@article{Kou2019ACN,
  title={A compact network learning model for distribution regression},
  author={Connie Khor Li Kou and Hwee Kuan Lee and T. K. Ng},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2019},
  volume={110},
  pages={
          199-212
        }
}
  • Connie Khor Li Kou, Hwee Kuan Lee, T. K. Ng
  • Published 2019
  • Computer Science, Medicine, Mathematics
  • Neural networks : the official journal of the International Neural Network Society
  • Despite the superior performance of deep learning in many applications, challenges remain in the area of regression on function spaces. In particular, neural networks are unable to encode function inputs compactly as each node encodes just a real value. We propose a novel idea to address this shortcoming: to encode an entire function in a single network node. To that end, we design a compact network representation that encodes and propagates functions in single nodes for the distribution… CONTINUE READING
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