most citedComparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions

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stat.ML2018★ 1 cited

Comparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions

Artit Wangperawong, Kettip Kriangchaivech, Austin Lanari +2

To compare entities of differing types and structural components, the artificial neural network paradigm was used to cross-compare structural components between heterogeneous docum…