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SVM
In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.
- 2014-12-14 21:33:26下载
- 积分:1
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FANYI
关于恶意代码检测和LTE网络,4G的LTE-A网络的外语文章的翻译论文(Foreign-language article about malicious code detection and lte network, lte-a network of 4g)
- 2014-01-02 18:09:59下载
- 积分:1
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WaveletNet
本代码实现了小波神经网络的MATLAB代码实现,为有此开发需求的人提供源码(This code implements the MATLAB code for wavelet neural network implementation of this development needs to have to provide source)
- 2010-05-10 11:25:36下载
- 积分:1
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GMM
使用Matlab编程实现GMM算法,不调用已有函数库,对大量点进行分类(LM algorithm using Matlab programming, do not call the existing library, a large number of points to classify)
- 2015-04-16 15:23:57下载
- 积分:1
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incsrch
root finding by incremental search
- 2010-10-26 18:37:42下载
- 积分:1
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matlabGUI
说明: matlabGUI入门视频
(matlabGUI entry video)
- 2008-09-08 16:36:07下载
- 积分:1
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randomwalk2D
2d radom walk from one destination to an another. zipzap bubbelz rules random words to fill the gap
- 2012-04-11 02:18:21下载
- 积分:1
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lon
aircraft longitudinal dynamics evaluation code for matlab. the code has been extracted from a book on aircraft stability and control. unfortunately the exact name of the book is not known.
- 2011-12-02 19:49:39下载
- 积分:1
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LNH25_SW_driver_guideline
LNBH25/26 SW control guideline.
SW driver for STV0910 and STV0913 NIM.
- 2013-12-31 23:13:11下载
- 积分:1
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RLS
利用RLS算法实现参数的自适应估计
估计y(n) = 1.5*y(n-1)-0.7*y(n-2)+0.3*u(n-2)中的参数(RLS algorithm using adaptive estimation parameters estimated y (n) = 1.5* y (n-1)-0.7* y (n-2)+ 0.3* u (n-2) parameters)
- 2008-04-01 18:54:41下载
- 积分:1