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www.eeworm.com/read/251522/4418826
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/215485/4903418
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/197905/5090864
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/346158/3189450
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/292984/3935690
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/292964/3936838
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/434858/1867898
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/393163/2487785
m mcmc1.m
% We compare MCMC structure learning with exhaustive enumeration of all dags.
N = 3;
%N = 4;
dag = mk_rnd_dag(N);
ns = 2*ones(1,N);
bnet = mk_bnet(dag, ns);
for i=1:N
bnet.CPD{i} = tabular_CPD(bnet
www.eeworm.com/read/367675/2833596
txt 28.txt
发信人: mining (key), 信区: DataMining
标 题: UCI data set description
发信站: 南京大学小百合站 (Tue Apr 29 13:46:06 2003)
UCI Machine Learning Repository Content Summary
Abalone Database
Donated by Sam Waugh
www.eeworm.com/read/319794/13442784
m initialise_mix1d.m
function mix1 = initialise_mix1d(x,m,source_type,init_method,priors)
% mix1 = initialise_mix1d(x,m,source_type,init_method,priors)
%
% Initialises a 1-dimensional mixture model for
% learning using th