A Deep Learning Model for Structured Outputs with High-order Interaction
Hongyu Guo,
Xiaodan Zhu,
Martin Renqiang Min
Abstract:Many real-world applications are associated with structured data, where not only input but also output has interplay. However, typical classification and regression models often lack the ability of simultaneously exploring high-order interaction within input and that within output. In this paper, we present a deep learning model aiming to generate a powerful nonlinear functional mapping from structured input to structured output. More specifically, we propose to integrate high-order hidden units, guided discri… Show more
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