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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.
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数值算法/人工智能 The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. L

The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "
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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) ...
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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!
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技术资料 运用KPCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器。

运用KPCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
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电子书籍 Myself graduation project content, asp access does the news issue system, myself carefully manufactu

Myself graduation project content, asp access does the news issue system, myself carefully manufacture, satisfies the general graduation project the request, the manager password is wwwfox, supports on the picture to pass on the news, the news classification, the special news, in the station searche ...
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matlab例程 The goal of SPID is to provide the user with tools capable to simulate, preprocess, process and clas

The goal of SPID is to provide the user with tools capable to simulate, preprocess, process and classify in vivo and ex vivo MRS signals. These tools are embedded in a matlab graphical user interface (GUI). (Pre)processing and classification methods can also be automatically run in a row using the m ...
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行业发展研究 Capabilities of the latest version of MultiSpec include the following. Import data Dis

Capabilities of the latest version of MultiSpec include the following. Import data Display multispectral images Histogram Reformat Create new channels Cluster data Define classes via designating rectangular Determine the best spectral features Classify a designated are ...
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matlab例程 程序包包含的验证方法

程序包包含的验证方法,会根据以下的多个指数分配系数(Partition Coefficient),分类熵Classification Entropy ,分区索引,分离指数(Separation Index),Xie and Beni s的索引,严重聚类的算法
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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。
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