代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/482347/6623152
m contents.m
% Value at Risk.
%
% Data analisys.
% rendimenti - prices to returns.
% semplicecorr - correlation between risk factors and assets (normal method).
% ewmacorr - correlation bet
www.eeworm.com/read/479525/6688189
m music.m
通过上述试验加深了对MUSIC方法的认识。
结果显示说明
mymusics.m 白噪声中单个正弦信号的频率检测与估计
clear;
close all;
%Frequency Estimation by Eigendecomposition of Autocorrelation Matrix
www.eeworm.com/read/402094/11543200
m capon_sp.m
function phi=capon_sp(Y,L,d)
%
% The Capon method for direction of arrival estimation.
%
% phi=capon_sp(Y,L,d);
%
% Y
www.eeworm.com/read/400577/11572653
m testk.m
%TESTK Error estimation of the K-NN rule
%
% E = TESTK(A,K,T)
%
% INPUT
% A Training dataset
% K Number of nearest neighbors (default 1)
% T Test dataset (default [], i.e. find leave-one-out e
www.eeworm.com/read/255755/12057332
m testk.m
%TESTK Error estimation of the K-NN rule
%
% E = TESTK(A,K,T)
%
% INPUT
% A Training dataset
% K Number of nearest neighbors (default 1)
% T Test dataset (default [], i.e. find leave-one-out e
www.eeworm.com/read/255320/12089785
hxx mimic.hxx
// coded by H.Handa 02/11/26 Ver.0.1
// Time-stamp:
#ifndef MIMIC_HH
#define MIMIC_HH
using namespace std;
#include "estimation_and_samplin
www.eeworm.com/read/339293/12244908
refmejdell
Subject: Re: Using Distillation Column Model in Inferentials Course
Use of temperature measurements to estimate compositions should work fine -
actually without any need to know thermo - just using
www.eeworm.com/read/150905/12248396
m testk.m
%TESTK Error estimation of the K-NN rule
%
% E = TESTK(A,K,T)
%
% INPUT
% A Training dataset
% K Number of nearest neighbors (default 1)
% T Test dataset (default [], i.e. find leave-one-out e
www.eeworm.com/read/150760/12266178
m contents.m
% Probability distribution estimation.
%
% emgmm - Expectation-Maximization Algorithm for GMM.
% melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture.
% mlcgmm - Maximal Li
www.eeworm.com/read/150760/12266197
m~ contents.m~
% Probability distribution estimation.
%
% emgmm - Expectation-Maximization Algorithm for GMM.
% melgmm - Maximizes Expectation of Log-Likelihood for Gaussian mixture.
% mlcgmm - Maximal Li