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找到约 406 项符合 meta-Learning 的查询结果

人工智能/神经网络 Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensibl

Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural net ...
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其他书籍 Learning GNU Emacs 3ed. Emacs和Vi是世界上最好用的编辑器

Learning GNU Emacs 3ed. Emacs和Vi是世界上最好用的编辑器,这本书是Emacs的入门教材。
https://www.eeworm.com/dl/542/140359.html
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人工智能/神经网络 Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by Da

Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
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人工智能/神经网络 这是一个matlab实现第归神经网络的例子, 实现的第归神经网络是 : Real Time Recurrent Learning

这是一个matlab实现第归神经网络的例子, 实现的第归神经网络是 : Real Time Recurrent Learning
https://www.eeworm.com/dl/650/143704.html
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人工智能/神经网络 LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network.

LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors ...
https://www.eeworm.com/dl/650/147505.html
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其他书籍 Learning the bash Shell, 3rd Edition 关于bash Shell介绍的很全面

Learning the bash Shell, 3rd Edition 关于bash Shell介绍的很全面
https://www.eeworm.com/dl/542/154668.html
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其他书籍 How to Think Like a Computer Scientist Learning with Python 学习linux下Python脚本的必备书籍

How to Think Like a Computer Scientist Learning with Python 学习linux下Python脚本的必备书籍
https://www.eeworm.com/dl/542/158972.html
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matlab例程 learning the kalman filter (Matlab Code)

learning the kalman filter (Matlab Code)
https://www.eeworm.com/dl/665/161504.html
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人工智能/神经网络 Single-layer neural networks can be trained using various learning algorithms. The best-known algori

Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer pe ...
https://www.eeworm.com/dl/650/165315.html
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其他书籍 Learning Cpp as a new language.rar

Learning Cpp as a new language.rar
https://www.eeworm.com/dl/542/167419.html
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