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Bayesian
  • Classification:Windows/.NET - Other WINDOWS program
  • Development Tool:Visual C++
  • Sise:238 KB
  • Upload time:2011/6/8 6:36:04
  • Uploader:chokavo1236
  • Download Statistics:
Description
The Bayesian classifier is a fundamental classification technique. complete source code,has passed the test.


UserImages.bmp

File list:
Bayesian
.......\res
.......\...\Bayesian.ico
Bayesian.ico
.......\...\Bayesian.rc2
.......\...\BayesianDoc.ico
BayesianDoc.ico
.......\...\Toolbar.bmp
Toolbar.bmp
.......\...\Toolbar256.bmp
Toolbar256.bmp
.......\x64
.......\Bayesian.aps
.......\Bayesian.cpp
.......\Bayesian.h
.......\Bayesian.rc
.......\Bayesian.vcproj
.......\Bayesian.vcproj.IJUPARK-PC.IJuPark.user
.......\BayesianClassfier.cpp
.......\BayesianClassfier.h
.......\BayesianDoc.cpp
.......\BayesianDoc.h
.......\BayesianView.cpp
.......\BayesianView.h
.......\BigFile.cpp
.......\BigFile.h
.......\cdib.cpp
.......\cdib.h
.......\cdib_ColorMemDC.cpp
.......\cdib_ColorMemDC.h
.......\EdgeFinder.cpp
.......\EdgeFinder.h
.......\EditingPoints.cpp
.......\EditingPoints.h
.......\EditObject.cpp
.......\EditObject.h
.......\GrayImage.cpp
.......\GrayImage.h
.......\ImageDlg.cpp
.......\ImageDlg.h
.......\ImageFrame.cpp
.......\ImageFrame.h
.......\KneeData.cpp
.......\KneeData.h
.......\MainFrm.cpp
.......\MainFrm.h
.......\MemDC_CDib.cpp
.......\MemDC_CDib.h
.......\PitSizer.cpp
.......\PitSizer.h
.......\PointFloat.cpp
.......\PointFloat.h
.......\ReadMe.txt
.......\resource.h
.......\SettingDlg.cpp
.......\SettingDlg.h
.......\stdafx.cpp
.......\stdafx.h
.......\Surface.cpp
.......\Surface.h
.......\SurfaceFence.cpp
.......\SurfaceFence.h
.......\SurfaceMask.cpp
.......\SurfaceMask.h
.......\targetver.h
.......\UserImages.bmp
UserImages.bmp
.......\ZoomInfo.cpp
.......\ZoomInfo.h
.......\ZoomInfo_Multi.cpp
.......\ZoomInfo_Multi.h
Bayesian.sln
Bayesian.suo
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Related source code
[Bayesian] - test sorry, i don t have any source. just i will learn to coding program.
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[Approximate-Bayesian-Inference-for-R...] - Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. Theseparameters must often be estimated from noisy observations since speech signals arerarely obtained in ‘clean’ acoustic environments in the real world. As a result, theparameter estimation algorithms we employ must be robust to environmental factorssuch as additive noise and reverberation. In this work we derive and evaluate approximate Bayesian algorithms for the following speech processing tasks: 1) speechenhancement 2) speaker identification 3) speaker verification and 4) voice activitydetection.
[Bayesian-methods-for-nonlinear-class...] - bayesin classifier estimation program using matlab
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[JavaBayes-0.346] - Java Bayesian network algorithm
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[NaiveBayesClassifier] - implementation of nahive bayse in C#
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