代码搜索：engine

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java endinginventory.java

package com.power.pipeengine.Report; /** * Title: PIPE Engine * Description: Global Planning Optimization Engine * Copyright: Copyright (c) 2002 * Company: Paraster, Inc.
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java engineruntime.java

package com.power.pipeengine; /** * Title: PIPE Engine * Description: Global Planning Optimization Engine * Copyright: Copyright (c) 2002 * Company: Paraster, Inc. *
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www.eeworm.com/read/296767/3898955

java modelconstraints.java

package com.power.lpsolver.LPSolve; import java.util.*; import com.power.pipeengine.*; /** * * Title: PIPE Engine * Description: Global Planning Optimization Engine * Cop
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m find_mpe.m

function mpe = find_mpe(engine, ev) % FIND_MPE Find the most probable explanation (Viterbi) % mpe = enter_evidence(engine, evidence, ...) % % evidence{i,t} = [] if if X(i,t) is hidden, and otherwi
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m clq_containing_nodes.m

function c = clq_containing_nodes(engine, nodes, fam) % CLQ_CONTAINING_NODES Find the lightest clique (if any) that contains the set of nodes % c = clq_containing_nodes(engine, nodes, family) % % If t
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m clq_containing_nodes.m

function c = clq_containing_nodes(engine, nodes, fam) % CLQ_CONTAINING_NODES Find the lightest clique (if any) that contains the set of nodes % c = clq_containing_nodes(engine, nodes, family) % % If t
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m marginal_nodes.m

function marginal = marginal_nodes(engine, query, add_ev) % MARGINAL_NODES Compute the marginal on the specified query nodes (loopy) % marginal = marginal_nodes(engine, query, add_ev) % % 'query'
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m marginal_nodes.m

function [marginal, loglik] = marginal_nodes(engine, query, add_ev) % MARGINAL_NODES Compute the marginal on the specified query nodes (var_elim) % [marginal, loglik] = marginal_nodes(engine, query)
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m marginal_nodes.m

function marginal = marginal_nodes(engine, nodes, t) % MARGINAL_NODES Compute the marginal on the specified query nodes (jtree_unrolled_dbn) % marginal = marginal_nodes(engine, nodes, t) % % 't' speci
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m find_mpe.m

function mpe = find_mpe(engine, evidence) % FIND_MPE Find the most probable explanation (Viterbi) % mpe = enter_evidence(engine, evidence, ...) % % evidence{i,t} = [] if if X(i,t) is hidden, and o
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