文件名称:hmmtrain
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- 上传时间:2012-11-16
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文件大小:137.32kb
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1.自己推导出来的mean与covariance来train theta
2.自己推导出来的mean与covariance来跑Viterbi
3.推theta时的Gradient Descent:
Learing Rate: 0.000001
GD iter : 50 iteration
4.Scaler : 1/260-1. Their derived mean and covariance to train theta 2. Their derived mean and covariance to run Viterbi 3. When push theta Gradient Descent: Learing Rate: 0.000001 GD iter: 50 iteration 4.Scaler: 1/260
2.自己推导出来的mean与covariance来跑Viterbi
3.推theta时的Gradient Descent:
Learing Rate: 0.000001
GD iter : 50 iteration
4.Scaler : 1/260-1. Their derived mean and covariance to train theta 2. Their derived mean and covariance to run Viterbi 3. When push theta Gradient Descent: Learing Rate: 0.000001 GD iter: 50 iteration 4.Scaler: 1/260
(系统自动生成,下载前可以参看下载内容)
下载文件列表
ReadMe.txt
feature.txt
fuck.txt
HMMtraining(五人train).txt
HMMtraining.txt
HMMtraining_1_15.txt
HMMtraining_one_model_15p.txt
參數說明.txt
~$ainBase.h
DEFINE.h
ENGINE.H
LDA.h
MATRIX.H
Parser.h
Resource.h
S_StartEnd.h
StartEnd.h
StdAfx.h
TMWTYPES.H
TrainBase.h
TrainImageHMM.h
VQ.h
LDA.cpp
Parser.cpp
S_StartEnd.cpp
StartEnd.cpp
StdAfx.cpp
TrainBase.cpp
TrainImageHMM.cpp
VQ.cpp
HMMtraining.txt.bak
libeng.lib
libmat.lib
libmx.lib
TrainImageHMM.aps
TrainImageHMM.clw
Thumbs.db
TrainImageHMM.dsp
TrainImageHMM.dsw
icon1.ico
TrainImageHMM.ncb
TrainImageHMM.opt
TrainImageHMM.plg
TrainImageHMM.rc
feature.txt
fuck.txt
HMMtraining(五人train).txt
HMMtraining.txt
HMMtraining_1_15.txt
HMMtraining_one_model_15p.txt
參數說明.txt
~$ainBase.h
DEFINE.h
ENGINE.H
LDA.h
MATRIX.H
Parser.h
Resource.h
S_StartEnd.h
StartEnd.h
StdAfx.h
TMWTYPES.H
TrainBase.h
TrainImageHMM.h
VQ.h
LDA.cpp
Parser.cpp
S_StartEnd.cpp
StartEnd.cpp
StdAfx.cpp
TrainBase.cpp
TrainImageHMM.cpp
VQ.cpp
HMMtraining.txt.bak
libeng.lib
libmat.lib
libmx.lib
TrainImageHMM.aps
TrainImageHMM.clw
Thumbs.db
TrainImageHMM.dsp
TrainImageHMM.dsw
icon1.ico
TrainImageHMM.ncb
TrainImageHMM.opt
TrainImageHMM.plg
TrainImageHMM.rc
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