Deep kernel machinesArc-cosine kernelDeep kernel extreme learning machinesEmergence of extreme learning machine as a breakneck learning algorithm has marked its prominence in solitary hidden layer feed-forward networks. Kernel-based extreme learning machine (KELM) reflected its efficiency in diverse ...
Extreme Learning Machine: Duplicates Others‘ Papers from 1988-2007我倾向于把ELM理解为是非线性特征随...
联系就是如果把多个这种single layer连接起来变成一种深度结构,那么在保持elm自身优势的前提下还可以达到d...
(对他们的历史贡献评价详见《G.-B. Huang, “An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels,”Cognitive Computation, vol. 6, pp. 376-390, 2014.》//www.ntu.edu.sg/home/egbhuang/pdf/ELM-Randomness-Kernel.pdf ELM的发展也是从不信到怀疑,到似曾相识,到大...
《Brief History of Machine Learning》 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机森林、Deep Learning. 《Deep Learning in Neural Networks: An Overview》 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本《神经网络与深度学习综述》本综述的特点...
机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 1) 《Brief History of Machine Learning》 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机
Extreme Learning MachineStacking principleDeep Stacked NetworkRegressionDeep learning techniques are commonly used to process large amounts of data, and good results are obtained in many applications. Those methods, however, can lead to long training times. An alternative to simultaneously tune all ...
Machine learning and deep learning algorithms have been implemented in several drug discovery processes such as peptide synthesis, structure-based virtual screening, ligand-based virtual screening, toxicity prediction, drug monitoring and release, pharmacophore modeling, quantitative structure–activity ...
《An Introduction to Deep Learning: From Perceptrons to Deep Networks》 介绍:深度学习概述:从感知机到深度网络,作者对于例子的选择、理论的介绍都很到位,由浅入深。翻译版本: 《The LION Way: Machine Learning plus Intelligent Optimization》介绍:<机器学习与优化>这是一本机器学习的小册子, 短短300多页道尽...
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