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人工智能/神经网络 svm(support vector machine)的训练识别算法程序
svm(support vector machine)的训练识别算法程序
人工智能/神经网络 svm-space vector machine
svm-space vector machine，由于人工智能中的机器学习时的测试和训练
matlab例程 Frequency Scale Conversion From f To f Scale frq2mel mel2frq mel The mel scale is based on the hu
Frequency Scale Conversion
From f To f Scale
frq2mel mel2frq mel The mel scale is based on the human perception of sinewave pitch.
frq2erb erb2frq erb The erb scale is based on the equivalent rectangular bandwidths of the human ear.
frq2midi midi2frq midi The midi standard specifies a numbering o ...
单片机开发 Based on 80C196MC One-chip Computer Frequency Conversion Rapid System of Accent Design Program Listi
Based on 80C196MC One-chip Computer Frequency Conversion Rapid System of Accent Design Program Listing
编辑器/阅读器 從同學那邊拿到的 Machine Language Simulator Version 3.0
從同學那邊拿到的
Machine Language Simulator Version 3.0
人工智能/神经网络 gaussian_model,color based segmentation,draw ellipse may used in face detection
gaussian_model,color based segmentation,draw ellipse may used in face detection
人工智能/神经网络 color based segment in YCbCr space
color based segment in YCbCr space
人工智能/神经网络 bayeserr - Computes the Bayesian risk for optimal classifier. ％ bayescln - Classifier based on Baye
bayeserr - Computes the Bayesian risk for optimal classifier.
％ bayescln - Classifier based on Bayes decision rule for Gaussians.
％ bayesnd - Discrim. function, dichotomy, max aposteriori probability.
％ bhattach - Bhattacharya s upper limit of mean class. error.
％ pbayescln - Plots discriminat f ...
其他 The JICQ is the bureau area which JAVA writes according to "Customer s Machine/Server"(C/S) mode mes
The JICQ is the bureau area which JAVA writes according to "Customer s Machine/Server"(C/S) mode message solid hour correspond by letter tool system, the system adopted the SQL Server2000 of Microsoft company as a backstage database, the system passes a JDBC interview database. The system is divided ...
人工智能/神经网络 The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimi
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the re ...