代码搜索:bayesian

找到约 1,632 项符合「bayesian」的源代码

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www.eeworm.com/read/275831/10793977

rb 19 - classifying text with a bayesian analyzer.rb

require 'rubygems' require 'classifier' classifier = Classifier::Bayes.new('Spam', 'Not spam') classifier.train_spam 'are you in the market for viagra? we sell viagra' classifier.train_not_spam 'hi
www.eeworm.com/read/449298/7509086

html dynamic.html

Bayesian inference in dynamic models -- an overview Bayesian inference in dynamic models --
www.eeworm.com/read/221024/14776794

html http:^^www.cs.utexas.edu^users^ml^uncertain.html

MIME-Version: 1.0 Server: CERN/3.0 Date: Tuesday, 07-Jan-97 15:56:18 GMT Content-Type: text/html Content-Length: 10283 Last-Modified: Wednesday, 28-Aug-96 15:57:24 GMT Uncertain Reasoni
www.eeworm.com/read/221024/14777728

html http:^^www.cs.utexas.edu^users^sowmya^pubs.html

MIME-Version: 1.0 Server: CERN/3.0 Date: Monday, 06-Jan-97 22:41:20 GMT Content-Type: text/html Content-Length: 6223 Last-Modified: Monday, 12-Aug-96 18:54:14 GMT Papers To vie
www.eeworm.com/read/207773/15262461

txt readme.txt

This is an English translation of the French set of files. J Wynia translated them, but is not the original author. I try to answer questions the best I can, but the real answers are best obtained i
www.eeworm.com/read/191902/8417199

m contents.m

% HMM's % HMM_Backward - HMM backward algorithm % HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks % HMM_Decoding - Find probable states fro
www.eeworm.com/read/286662/8751810

m contents.m

% HMM's % HMM_Backward - HMM backward algorithm % HMM_Boltzmann - Find the transition matrices of an HMM using Boltzmann networks % HMM_Decoding - Find probable states fro