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/255755/12057417
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/150905/12248535
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/149739/12352845
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/131588/14136318
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/131284/14152381
cpp nl_ex.cpp
// This is an example of a non-linear least squares fit. The example
// is from "Nonlinear estimation" by Gavin Ross (Springer,1990), p 63.
// There are better ways of doing the fit in this case so
www.eeworm.com/read/129915/14217730
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/218840/14904427
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/482538/1287282
cc pep.cc
/*
* pep.{cc,hh} -- Grid Position Estimation Protocol
* Robert Morris
*
* Copyright (c) 1999-2000 Massachusetts Institute of Technology
*
* Permission is hereby granted, free of charge, to any p
www.eeworm.com/read/459172/1573336
c motion_est_mmx.c
/*
* MMX optimized motion estimation
* Copyright (c) 2001 Fabrice Bellard.
* Copyright (c) 2002-2004 Michael Niedermayer
*
* mostly by Michael Niedermayer
*
* This file is pa
www.eeworm.com/read/201007/5062221
svn-base motion_est.c.svn-base
/*
* 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