贝叶斯神经网络工具箱我要分享

Bayesian neural network toolbox

神经网络工具箱 贝叶斯网络工具箱

关注次数: 559

下载次数: 2

文件大小: 547KB

代码分类: 智能算法

开发平台: matlab

下载需要积分: 1积分

版权声明:如果侵犯了您的权益请与我们联系,我们将在24小时内删除。

代码描述

中文说明:

神经网络工具箱,贝叶斯网络工具箱。内有说明。


English Description:

The neural network toolbox, bayesian networks toolbox.There is.


代码预览

Bayes 网络工具箱

................\add_BNT_to_path.m

................\CPDs

................\....\@boolean_CPD

................\....\............\boolean_CPD.m

................\....\@deterministic_CPD

................\....\..................\deterministic_CPD.m

................\....\@discrete_CPD

................\....\.............\CPD_to_cgpot.m

................\....\.............\CPD_to_cpot.m

................\....\.............\CPD_to_table.m

................\....\.............\discrete_CPD.m

................\....\.............\evaluate_CPD.m

................\....\.............\Old

................\....\.............\...\prob_CPD.m

................\....\.............\prob_CPD.m

................\....\.............\sample_CPD.m

................\....\@gaussian_CPD

................\....\.............\adjustable_CPD.m

................\....\.............\CPD_to_cgpot.m

................\....\.............\CPD_to_cpot.m

................\....\.............\CPD_to_table.m

................\....\.............\CPD_to_tables.m

................\....\.............\evaluate_CPD.m

................\....\.............\gaussian_CPD.m

................\....\.............\maximize_params.m

................\....\.............\Old

................\....\.............\...\update_tied_ess.m

................\....\.............\private

................\....\.............\.......\CPD_to_linear_gaussian.m

................\....\.............\.......\linear_gaussian_to_cpot.m

................\....\.............\reset_ess.m

................\....\.............\sample_CPD.m

................\....\.............\update_ess.m

................\....\@generic_CPD

................\....\............\adjustable_CPD.m

................\....\............\CPD_to_dpot.m

................\....\............\CPD_to_tables.m

................\....\............\display.m

................\....\............\generic_CPD.m

................\....\............\Old

................\....\............\...\CPD_to_dpots.m

................\....\@noisyor_CPD

................\....\............\compute_lambda_msg.m

................\....\............\compute_pi.m

................\....\............\CPD_to_CPT.m

................\....\............\noisyor_CPD.m

................\....\............\private

................\....\............\.......\sum_prod_CPD_and_pi_msgs.m

................\....\@root_CPD

................\....\.........\CPD_to_cgpot.m

................\....\.........\CPD_to_cpot.m

................\....\.........\CPD_to_table.m

................\....\.........\evaluate_CPD.m

................\....\.........\Old

................\....\.........\...\CPD_to_CPT.m

................\....\.........\root_CPD.m

................\....\.........\sample_CPD.m

................\....\@softmax_CPD

................\....\............\CPD_to_cgpot.m

................\....\............\CPD_to_cpot.m

................\....\............\CPD_to_table.m

................\....\............\evaluate_CPD.m

................\....\............\maximize_params.m

................\....\............\private

................\....\............\.......\consist.m

................\....\............\.......\demglm1.m

................\....\............\.......\demglm2.m

................\....\............\.......\glm.m

................\....\............\.......\glmerr.m

................\....\............\.......\glmfwd.m

................\....\............\.......\glmgrad.m

................\....\............\.......\glmhess.m

................\....\............\.......\glminit.m

................\....\............\.......\glmpak.m

................\....\............\.......\glmtrain.m

................\....\............\.......\glmunpak.m

................\....\............\.......\README.glm

................\....\............\reset_ess.m

................\....\............\sample_CPD.m

................\....\............\softmax_CPD.m

................\....\............\update_ess.m

................\....\@tabular_CPD

................\....\............\compute_lambda_msg.m

................\....\............\compute_lambda_msg_fast.m

................\....\............\compute_pi.m

................\....\............\CPD_to_CPT.m

................\....\............\maximize_params.m

................\....\............\Old

................\....\............\...\tabular_CPD.m

................\....\............\...\update_params.m

................\....\............\private

................\....\............\.......\prod_CPD_and_pi_msgs.m

................\....\............\.......\prod_CPD_and_pi_msgs_fast.m

................\....\............\prob_CPT.m

................\....\............\reset_ess.m

................\....\............\tabular_CPD.m

................\....\............\update_ess.m

................\....\............\update_params.m

................\....\............\update_params_CPT.m