代码搜索:ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

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www.eeworm.com/read/191902/8417234

m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_features, train_targets, sigma, region) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: %
www.eeworm.com/read/291161/8439059

m d_arma.m

%D_ARMA HOSA Demo: Linear Processes - Parametric (ARMA) model estimation % Blind deconvolution. echo off % Demo of armaqs, armarts % A. Swami Jan 20, 1995 % Copyrigh
www.eeworm.com/read/290613/8471832

m d_arma.m

%D_ARMA HOSA Demo: Linear Processes - Parametric (ARMA) model estimation % Blind deconvolution. echo off % Demo of armaqs, armarts % A. Swami Jan 20, 1995 % Copyrigh
www.eeworm.com/read/289837/8523570

m d_arma.m

%D_ARMA HOSA Demo: Linear Processes - Parametric (ARMA) model estimation % Blind deconvolution. echo off % Demo of armaqs, armarts % A. Swami Jan 20, 1995 % Copyrigh
www.eeworm.com/read/387891/8648866

c motion_est.c

/* * Motion estimation * Copyright (c) 2000,2001 Fabrice Bellard. * Copyright (c) 2002-2004 Michael Niedermayer * * * This library is free software; you can redistribute it and/or * modify it u
www.eeworm.com/read/430527/8740518

m d_arma.m

%D_ARMA HOSA Demo: Linear Processes - Parametric (ARMA) model estimation % Blind deconvolution. echo off % Demo of armaqs, armarts % A. Swami Jan 20, 1995 % Copyrigh
www.eeworm.com/read/286662/8751845

m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: % pattern
www.eeworm.com/read/386050/8767611

m normal_map.m

%NORMAL_MAP Map a dataset on normal-density classifiers or mappings % % F = NORMAL_MAP(A,W) % % INPUT % A Dataset % W Mapping % % OUTPUT % F Density estimation for classes in A % % DESC
www.eeworm.com/read/386050/8768131

m crossval.m

%CROSSVAL Error/performance estimation by cross validation (rotation) % % [ERR,CERR,NLAB_OUT] = CROSSVAL(A,CLASSF,N,1,TESTFUN) % [ERR,STDS] = CROSSVAL(A,CLASSF,N,NREP,TESTFUN) % R
www.eeworm.com/read/283938/8978648

m d_arma.m

%D_ARMA HOSA Demo: Linear Processes - Parametric (ARMA) model estimation % Blind deconvolution. echo off % Demo of armaqs, armarts % A. Swami Jan 20, 1995 % Copyrigh