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其他书籍 This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the

This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. It provides the tools to help overcome the problems of video storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The ...
https://www.eeworm.com/dl/542/206711.html
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人工智能/神经网络 高斯过程是一种非参数化的学习方法

高斯过程是一种非参数化的学习方法,它可以很自然的用于regression,也可以用于classification。本程序用高斯过程实现分类!
https://www.eeworm.com/dl/650/212307.html
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数值算法/人工智能 ApMl provides users with the ability to crawl the web and download pages to their computer in a dire

ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN
https://www.eeworm.com/dl/518/227591.html
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其他 Support Vector Machine is small sample method based on statistic learning theory. It is a new method

Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
https://www.eeworm.com/dl/534/245401.html
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人工智能/神经网络 AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a s

AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
https://www.eeworm.com/dl/650/273260.html
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人工智能/神经网络 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recog

模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still contain ...
https://www.eeworm.com/dl/650/280641.html
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matlab例程 用Fourier变换求取信号的功率谱---周期图法 用Fourier变换求取信号的功率谱---分段周期图法 用Fourier变换求取信号的功率谱---welch方法 功率谱估计----多窗口法(

用Fourier变换求取信号的功率谱---周期图法 用Fourier变换求取信号的功率谱---分段周期图法 用Fourier变换求取信号的功率谱---welch方法 功率谱估计----多窗口法(multitaper method ,MTM法) 功率谱估计----最大熵法(maxmum entmpy method,MEM法) 功率谱估计----多信号分类法(multiple signal classification,music法) ...
https://www.eeworm.com/dl/665/321007.html
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matlab例程 Some paintings lyapunov chaotic attractor and the related terms, while the sub-critical and supercri

Some paintings lyapunov chaotic attractor and the related terms, while the sub-critical and supercritical classification
https://www.eeworm.com/dl/665/326110.html
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数值算法/人工智能 决策树分类

决策树分类,Your task for this project is to develop an system which performs a classification task with any various Decision Tree.
https://www.eeworm.com/dl/518/327375.html
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matlab例程 统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具

统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具,支持向量分类(support vector classification,简称SVC)算法是一个很有发展前景的方向。
https://www.eeworm.com/dl/665/333283.html
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