代码搜索：Bayesian
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www.eeworm.com/read/139529/13150727
log output.onemax.30.log
===============================================
Simple Bayesian Optimization Algorithm in C++
Version 1.0 (Released in March 1999)
Copyright (c) 1999 Martin Pelikan
Author: Martin Pelikan
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www.eeworm.com/read/449504/7502062
m bvar.m
function result = bvar(x,nlag,tight,weight,decay,xx);
% PURPOSE: Performs a Bayesian vector autoregression of order n
%---------------------------------------------------
% USAGE: result = bvar(y,
www.eeworm.com/read/449504/7502092
out recm.out
***** Bayesian Error Correction Model *****
***** Random-Walk Averaging Prior *****
PRIOR hyperparameters
sig = 0.10
tau = 6.00
theta = 0.50
Weight matrix =
Vari
www.eeworm.com/read/449504/7503013
m contents.m
% Casetti model estimation functions
%
% bcasetti : computes a heteroscedastic Bayesian variant of Casetti's spatial expansion regression
% bcasetti_d : An example of using bcasetti
%
www.eeworm.com/read/396900/8083533
m bnmsgpasssendlambdamsg.m
function [nodes, edges] = bnMsgPassSendLambdaMsg(Y, X, nodes, edges, A)
% BNMSGPASSSENDLAMBDAMSG helper function for lungbayesdemo
% Reference: Neapolitan R., "Learning Bayesian Networks", Pearson
www.eeworm.com/read/484327/6585775
java spamfilter.java
/* Daniel Shiffman */
/* Bayesian Spam Filter Example */
/* Programming from A to Z */
/* Spring 2007 */
/* http://www.shiffman.net */
/* daniel.shiffman@n
www.eeworm.com/read/484329/6585777
java word.java
/* Daniel Shiffman */
/* Bayesian Spam Filter Example */
/* Programming from A to Z */
/* Spring 2006 */
/* http://www.shiffman.net */
/* daniel.shiffman@n
www.eeworm.com/read/484330/6585778
java spamfilter.java
/* Daniel Shiffman */
/* Bayesian Spam Filter Example */
/* Programming from A to Z */
/* Spring 2006 */
/* http://www.shiffman.net */
/* daniel.shiffman@n
www.eeworm.com/read/484330/6585779
java word.java
/* Daniel Shiffman */
/* Bayesian Spam Filter Example */
/* Programming from A to Z */
/* Spring 2006 */
/* http://www.shiffman.net */
/* daniel.shiffman@n
www.eeworm.com/read/429426/1948707
py bayes.py
# Description: Class that implements the naive Bayesian learner and classifier (warning: just for educational purposes, for real, use naive Bayes as implemented in core Orange)
# Category: modelli