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/13871/284545
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/344585/3207657
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/344585/3207686
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/279486/4136273
m contents.m
% Bayesian Information Criterion (CCToolbox/model_selection/bic)
% CCToolbox 1.0
%
% BIC functions
% bic - Run BIC on a set of curves
% MonteCarlo_BIC - Run BIC on random subset
www.eeworm.com/read/429426/1948712
py classifier2.py
# Description: Read data, build naive Bayesian classifier, and output class probabilities for the first few instances
# Category: modelling
# Uses: voting.tab
# Referenced: c_basics.htm
www.eeworm.com/read/396844/2406586
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/396844/2406616
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/359369/2978365
m contents.m
% ReBEL : Recursive Bayesian Estimation Library - Toolkit
% Version 0.1
%
% ---EXAMPLES---
%
% State Estimation
% state_estimation/demse1 - Simple linear time series estimation demo
%
www.eeworm.com/read/359369/2978386
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/359369/2978415
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c