代码搜索：self

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www.eeworm.com/read/140847/5779345

m update_ess.m

function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv) % UPDATE_ESS Update the Expected Sufficient Statistics of a hhmmF node. % function CPD = update_ess(CPD, fmarginal, evidenc
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www.eeworm.com/read/133943/5897445

m update_ess3.m

function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv) % UPDATE_ESS Update the Expected Sufficient Statistics of a hhmm Q node. % function CPD = update_ess(CPD, fmarginal, eviden
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www.eeworm.com/read/133943/5897469

m log_nextcase_prob_node.m

function L = log_nextcase_prob_node(CPD, self_ev, pev, test_self_ev, test_pev) % LOG_NEXTCASE_PROB_NODE compute the joint distribution of a node (tabular) of a new case given % completely observed d
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www.eeworm.com/read/133943/5897491

m convert_to_table.m

function T = convert_to_table(CPD, domain, evidence) % CONVERT_TO_TABLE Convert a Gaussian CPD to a table % T = convert_to_table(CPD, domain, evidence) sz = CPD.sizes; ns = zeros(1, max(domain)); ns
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www.eeworm.com/read/133943/5897528

m update_ess.m

function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv) % UPDATE_ESS Update the Expected Sufficient Statistics of a hhmmF node. % function CPD = update_ess(CPD, fmarginal, evidenc
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www.eeworm.com/read/486736/6525934

h fips140.h

#ifndef CRYPTOPP_FIPS140_H #define CRYPTOPP_FIPS140_H /*! \file FIPS-140 related functions and classes. */ #include "cryptlib.h" NAMESPACE_BEGIN(CryptoPP) //! exception thrown when a c
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www.eeworm.com/read/131693/14132683

h fips140.h

#ifndef CRYPTOPP_FIPS140_H #define CRYPTOPP_FIPS140_H /*! \file FIPS-140 related functions and classes. */ #include "cryptlib.h" NAMESPACE_BEGIN(CryptoPP) //! exception thrown when a c
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www.eeworm.com/read/160391/5571307

m update_ess3.m

function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv) % UPDATE_ESS Update the Expected Sufficient Statistics of a hhmm Q node. % function CPD = update_ess(CPD, fmarginal, evid
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www.eeworm.com/read/160391/5571331

m log_nextcase_prob_node.m

function L = log_nextcase_prob_node(CPD, self_ev, pev, test_self_ev, test_pev) % LOG_NEXTCASE_PROB_NODE compute the joint distribution of a node (tabular) of a new case given % completely observed d
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www.eeworm.com/read/160391/5571353

m convert_to_table.m

function T = convert_to_table(CPD, domain, evidence) % CONVERT_TO_TABLE Convert a Gaussian CPD to a table % T = convert_to_table(CPD, domain, evidence) sz = CPD.sizes; ns = zeros(1, max(domain
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