代码搜索：Bayesian
找到约 1,632 项符合「Bayesian」的源代码
代码结果 1,632
www.eeworm.com/read/332717/3394413
repository
newbuild/optional/src/test/net/sf/classifier4J/bayesian
www.eeworm.com/read/332717/3394434
repository
newbuild/optional/src/java/net/sf/classifier4J/bayesian
www.eeworm.com/read/469626/6972126
makefile
# ===============================================================
#
# Makefile for the simple Bayesian optimization Algorithm (sBOA)
#
# author: Martin Pelikan
#
# last modified: February,
www.eeworm.com/read/454131/7397644
h userstr.h
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
// Bayesian Inference / Massive Inference
//
// Filename: userstr.h
//
// Purpose: Define user stru
www.eeworm.com/read/449504/7502800
m test_bayes.m
% PURPOSE: A comparison of Bayesian and ML estimates
% using a small dataset
%---------------------------------------------------
% USAGE: test_bayes
%-------------------
www.eeworm.com/read/449504/7502804
m test_bayes5.m
% PURPOSE: A comparison of Bayesian and ML estimates
% using a small dataset
%---------------------------------------------------
% USAGE: test_bayes
%-------------------
www.eeworm.com/read/449504/7502808
m test_bayes3.m
% PURPOSE: A comparison of Bayesian and ML estimates
% using a small dataset
%---------------------------------------------------
% USAGE: test_bayes
%-------------------
www.eeworm.com/read/449504/7502814
m test_bayes4.m
% PURPOSE: A comparison of Bayesian and ML estimates
% using a small dataset
%---------------------------------------------------
% USAGE: test_bayes
%-------------------
www.eeworm.com/read/139529/13150482
makefile
# ===============================================================
#
# Makefile for the simple Bayesian optimization Algorithm (sBOA)
#
# author: Martin Pelikan
#
# last modified: Febr
www.eeworm.com/read/461264/7230651
pro mlinmix_err.pro
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
+
; NAME:
; MLINMIX_ERR
; PURPOSE:
; Bayesian approach to multiple linear regression with errors in X and Y