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/429426/1948740
py nbdisc_test.py
# Description: Test of naive bayesian classifier with entropy-based discretization (as defined in nbdisc.py)
# Category: modelling
# Uses: iris.tab
# Classes: orngTest.crossValidation
www.eeworm.com/read/373460/2761839
m contents.m
% Bayes Classification.
%
% bayeserr - Computes the Bayesian risk for optimal classifier.
% bayescln - Classifier based on Bayes decision rule for Gaussians.
% bayesnd - Discrim. function, dic
www.eeworm.com/read/473227/6849388
jamfile
# Bayes++ Jamfile - See Boost.build
# BayesFilter - The Bayesian filtering library
# Declare the location of this subproject relative to the project root.
subproject BayesFilter ;
# Base names of th
www.eeworm.com/read/294287/8243668
c msvar1.3.c
/* This program performs a Hierarchical Bayesian analysis using multilocus
microsatellite data to infer population growth and decline
*/
#include
#include
#include
www.eeworm.com/read/393436/8287391
txt read_me.txt
The following files provide a Matlab based demonstration of the
GP classifier for multiple classes as detailed in the paper
Girolami, M., Rogers, S.,
Variational Bayesian Multinomial Probit Regr
www.eeworm.com/read/174377/9590039
jamfile
# Bayes++ Jamfile - See Boost.build
# BayesFilter - The Bayesian filtering library
# Declare the location of this subproject relative to the project root.
subproject BayesFilter ;
# Base names of th
www.eeworm.com/read/182374/9205799
m runbneda.m
function[Max,k,BestSolutions]=RunBNEDA(PopSize,NumbVar,T,F,CantGen,MaximumFunction,Card,Elitism,TypeLearning,MaxParent,epsilon,mwst,star,SCORE)
% EDA that uses as a probabilistic model a Bayesian
www.eeworm.com/read/177674/9442381
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/177674/9442431
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/176823/9483087
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