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Aug, 2015
升级关系神经网络
Lifted Relational Neural Networks
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Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezny, Ondrej Kuzelka
TL;DR
本文提出了一种结合关系逻辑表示和神经网络学习的方法，通过关系规则和反映给定训练或测试关系实例结构的深层神经网络的组合实现层次关系建模，从而实现对潜在关系概念的学习，该方法在78个关系学习基准测试中表现良好。
Abstract
We propose a method combining
relational-logic representations
with deep
neural network learning
. Domain-specific knowledge is described through relational rules which may be handcrafted or learned. The relationa
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