LIBSVM is an integrated software for support vector classification. LIBSVM provides a simple interface where users can easily link it with their own programs.
標(biāo)簽： LIBSVM classification integrated software
上傳時(shí)間： 2015-04-04
上傳用戶：alan-ee
一個(gè)SVM的MATLAB工具箱,Support Vector Machine toolbox for Matlab Version 2.51
標(biāo)簽： Machine Support toolbox Version
上傳時(shí)間： 2014-05-27
上傳用戶：Late_Li
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated . The number of independent components are calculated using Bayes Information Criterion (BIC), with PCA for dimension reduction.
標(biāo)簽： decorrelation and algorithm Molgedey
上傳時(shí)間： 2013-12-13
上傳用戶：c12228
Simple Support Vector Machine toolbox
標(biāo)簽： Machine Support toolbox Simple
上傳時(shí)間： 2015-04-21
上傳用戶：ouyangtongze
Content Based Audio Classification using Support Vector Machine
標(biāo)簽： Classification Content Support Machine
上傳時(shí)間： 2015-04-21
上傳用戶：源弋弋
MATLAB 的名稱源自 Matrix Laboratory ，它是一種科學(xué)計(jì)算軟件，專門以矩陣的形式處理數(shù)據(jù)。 MATLAB 將高性能的數(shù)值計(jì)算和可視化集成在一起，并提供了大量的內(nèi)置函數(shù)，從而被廣泛地應(yīng)用于科學(xué)計(jì)算、控制系統(tǒng)、信息處理等領(lǐng)域的分析、仿真和設(shè)計(jì)工作，而且利用 MATLAB 產(chǎn)品的開(kāi)放式結(jié)構(gòu)，可以非常容易地對(duì) MATLAB 的功能進(jìn)行擴(kuò)充，從而在不斷深化對(duì)問(wèn)題認(rèn)識(shí)的同時(shí)，不斷完善 MATLAB 產(chǎn)品以提高產(chǎn)品自身的競(jìng)爭(zhēng)能力。重點(diǎn)介紹MATLAB創(chuàng)建圖形用戶界面應(yīng)用程序的原則和方法，有大量具體的代碼創(chuàng)建界面并實(shí)現(xiàn)相應(yīng)用戶動(dòng)作的方法。
標(biāo)簽： Laboratory MATLAB Matrix
上傳時(shí)間： 2013-12-14
上傳用戶：helmos
,(ebook.-.PDF.-.Game.Programming).Wordware.-.Vector
標(biāo)簽： Programming Wordware Vector ebook
上傳時(shí)間： 2013-12-25
上傳用戶：小碼農(nóng)lz
LVQ學(xué)習(xí)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 and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.
標(biāo)簽： implementing quantization directory Learning
上傳時(shí)間： 2015-05-02
上傳用戶：hewenzhi
MATLAB, computing matrix by QR
標(biāo)簽： computing MATLAB matrix by
上傳時(shí)間： 2015-05-05
上傳用戶：頂?shù)弥?/p>
computing singular value of matrix by iteration
標(biāo)簽： computing iteration singular matrix
上傳時(shí)間： 2014-01-16
上傳用戶：lx9076
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