一句话总结:In this paper, we tackle such problem by considering the symbolic knowledge is expressed in form of a domain expert knowledge graph. 提出eXplainable Neural-symbolic learning (X-NeSyL) methodology:学习符号和深度表示,以及一个可解释性指标,以评估机器和人类专家解释的对齐水平。最终目标是将深...
4 Neural-Symbolic Learning 4.1 Inductive Logic Programming 归纳逻辑程序设计(ILP)可以利用神经符号计算的学习能力,从实例中自动构造逻辑程序。ILP方法分为自底向上和自顶向下。 自底向上方法通过从示例中提取特定子句来构造逻辑程序。例如,构造cilp++时使用了底子句命题化技术。CRILP系统将clip++生成的底子句与rbm...
Gabbay, Neural-Symbolic Learning Systems: Foundations and Applications, in: Perspectives in Neural Computing, Springer-Verlag, 2002.d'Avila Garcez, A.S., Broda, K.B., Gabbay, D.M.: Neural-Symbolic Learning Systems -- Foundations and Applications. Perspectives in Neural Computing, Springer, ...
Neural-Symbolic Learning Systems 作者:D'Avila Garcez, Artur S.; D'Avila Garcez, A. S.; Broda, Krysia B. 页数:271 ISBN:9781852335120 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 我要写书评 Neural-Symbolic Learning Systems的书评 ···(全部 0 条) Starry...
A curated list of papers on Neural Symbolic and Probabilistic Logic. Papers are sorted by their uploaded dates in descending order. Each paper is with a descrip...
A survey on neural-symbolic learning systems Neural-symbolic learning systems combine the neural systems and symbolic systems.Neural-symbolic learning systems has the ability of perception and reasoni... D Yu,B Yang,D Liu,... - 《Neural Networks》 被引量: 0发表: 2023年 Neural Symbolic Learni...
1. Introduction and Overview.- 1.1 Why Integrate Neurons and Symbols?.- 1.2 Strategies of Neural-Symbolic Integration.- 1.3 Neural-Symbolic Learning Systems.- 1.4 A Simple Example.- 1.5 How to Read this Book.- 1.6 Summary.- 2. Background.- 2.1 General Preliminaries.- 2.2 Inductive Learning....
The goal of neural-symbolic computation is to integrate robust connectionist learning and sound symbolic reasoning. With the recent advances in connectionist learning, in particular deep neural networks, forms of representation learning have emerged. However, such representations have not become useful for...
背景 本文的neural-symbolic指的是神经网络和符号操作的结合。神经网络参数的灵活性...聚焦于neural-symbolic,通过结合表征学习和符号推理来提升机器的理解能力。 任务介绍 本文结合Neural和Program,对于VQA的image i 和question x, 生成一个 Paper reading (三十五):Neural-symbolic machine learning for retrosynthesis ...
具体来说,我们引入了一种神经符号机(NSM:Neural Symbolic Machine),其包含了一个序列到序列(seq2seq)神经「编程器(programmer)」和一个不可微分的「计算机(computer)」——该计算机是一个带有代码协助(code assist)的 Lisp 解释器。为了成功将 REINFORCE 用于训练,我们通过使用一个迭代式的最大似然训练过程(iterative...