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updated 5 months ago

Alarm network by Siqi

Implementation of the famous alarm network in BNT toolbox (bnt toolbox, alarm network, bayesian network)

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updated 1 year ago

Rock Paper Scissors Bayesian Network Learner by Qingyang Chen

Use of a Bayesian network to predict the player in rock-paper-scissors based on previous patterns. (rock paper scissors, bayesian network, bayesian)

rockpaperscissors_comment( whoWin, youStreak )

rockpaperscissors.m

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updated 1 year ago

K2 algorithm for learning DAG structure in Bayesian network by Guangdi Li

This is the code of Cooper's K2 algorithm proposed in 1992, quick and convenient for using. (dag, bayesian network, data mining)

ConstructLGObj( OriginalSample )

GClosedFun( LGObj, X, PAX )

k2( LGObj,Order,u )

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updated 3 years ago

GlobalMIT toolbox by Xuan Vinh Nguyen

Learning Globally Optimal Dynamic Bayesian Network with the Mutual Information Test (MIT) Criterion (bayesian network, dynamic bayesian netw..., structure learning)

CMI=conditional_MI_DBN(a,Xi, Xj, Pa,n_state)

CMI=conditional_MI_DBN_ab(a,b,Xi, Xj, Pa,n_state)

[a,b]=multi_time_series_cat(varargin)

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updated 4 years ago

SumProductLab for Factor Graphs by Henry Leung

This is an platform for experiments with factor graphs. (factor node, sumproduct, belief propagation)

[state, hmm_out]=sim_hmm(pre_state,cptt,cpte)

connect(m,n)

ls_marginal(m,n)

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updated 4 years ago

Causal Polytree ---Pearl's classical algorithm(1988) by Guangdi Li

Pearl's famous causal polytree recover algorithm is implemented here. (data ming, causal polytree, bayesian network)

IsLeaf( Graph,Node )

Pearl_PolytreeRecover( CIMatric,CPMatricSkeleton )

ControlCenter.m

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updated 5 years ago

Mass Spectrometry Bayesian Network Analysis Tool by Karl Kuschner

Finds diagnostic features in the spectra of biologic samples by using a Bayesian Network approach (mass spectrometry, bayesian network, feature selection)

[IntOut IDOut PredClass Class2Vars Var2Vars MetaVars Tria...

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updated 5 years ago

NPC algorithm for learning DAG in Bayesian network by Guangdi Li

NPC algorithm is designed for learning Bayesian network formed as DAG in 2001, by Steck (bayesian network, dag, learning algorithm)

CITest_ChiTwoVar( MI, R, M, a )

ConditionallyIndependent_MutualInformation( LGObj,Var1,Va...

ConstructLGObj( OriginalSample )

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updated 5 years ago

Structure Learning Package for Bayes Net Toolbox by Olivier Francois

Structure Learning methods for Bayesian Networks (statistics, probability, bayesian network)

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updated 5 years ago

Probablistic Logic Sampling (PLS) by Guangdi Li

It is credited as 1th algorithm applying stochastic sampling to belief updating in Bayesian networks (sampling, bayesian network, simulink)

BinaryPLS_GenerateRandomData( GraphMatric,Number )

CompDecilToInt( RangeOfVar,CompDecNumber )

GenerateDAG( Node )

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updated 6 years ago

A Recursive method to learn Bayesian network by Xianchao Xie

A method to learn Bayesian network from data. (statistics, probability, bayesian network)

argmin(v)

best_first_elim_order(G, node_sizes, stage)

cliques_to_jtree(cliques, ns)

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updated almost 7 years ago

Modeling Lung Cancer Diagnosis Using Bayesian Network Inference by Paola Favaretto

Pearl's message passing algorithm implementation and application to lung cancer diagnosis (biotech, pharmaceutical, bayes nets)

bnMsgPassCreate(M, values, CPT)

bnMsgPassInitiate(nodes, edges, root)

bnMsgPassNetUpdate(nodes, edges, A, ahat, V, vhat)

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