Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks

NATHALIE JAPKOWICZ

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Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks

机译：前馈神经网络监督与无监督二进制学习

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摘要

Binary classification is typically achieved by supervised learning methods. Nevertheless, it is also possible using unsupervised schemes. This paper describes a connectionist unsupervised approach to binary classification and compares its performance of that of its supervised counterpart. The approach consists of training an autoassociator to reconstruct the positive class of a domain at the output layer.

机译：二进制分类通常通过监督学习方法来实现。但是，也可以使用无监督方案。本文描述了一种连接器无监督的二进制分类方法，并比较了其有监督的同类方法的性能。该方法包括训练自动关联器以在输出层重构域的肯定类别。

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《Machine Learning》 |2001年第2期|p.97-122|共26页
作者
NATHALIE JAPKOWICZ;
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正文语种 eng
中图分类计算技术、计算机技术;
关键词
unsupervised learning; supervised learning; discrimination;

机译：无监督学习;监督学习;歧视;

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1. SUPERVISED EXTENDED ART - A FAST NEURAL NETWORK CLASSIFIER TRAINED BY COMBINING SUPERVISED AND UNSUPERVISED LEARNING [J] . Lee HM., Lai CS. Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 1996,第2期

机译：监督扩展艺术-通过结合监督学习和监督学习来训练的快速神经网络分类器
2. Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques [J] . Karayiannis N.B., Mi G.W. IEEE Transactions on Neural Networks . 1997,第6期

机译：不断发展的径向基神经网络：将有监督和无监督学习与网络增长技术相结合
3. The local minima-free condition of feedforward neural networks forouter-supervised learning [J] . De-Shuang Huang IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics . 1998,第3期

机译：外监督学习的前馈神经网络的局部无极小条件
4. Quantum neural networks versus conventional feedforward neural networks: an experimental study [C] . Kretzschmar, R., Bueler, . 2000

机译：量子神经网络与常规前馈神经网络的实验研究
5. Automated Machine Learning for Supervised and Unsupervised Models with Artificial Neural Networks [D] . Naghizadeh, Alireza. 2021

机译：具有人工神经网络的监督和无监督模型的自动化机器学习
6. Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning [O] . Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, 2018

机译：通过基于STDP的无监督预训练和有监督的微调来训练深度尖峰卷积神经网络
7. Growing radial basis neural networks: Merging supervised and unsupervised learning with network growth techniques [O] . Nicolaos B. Karayiannis, Glenn Weiqun Mi 1997

机译：不断发展的径向基神经网络：将有监督和无监督学习与网络增长技术合并

Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks

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