代码搜索:Inference

找到约 1,820 项符合「Inference」的源代码

代码结果 1,820
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m jtree_dbn_inf_engine.m

function engine = jtree_dbn_inf_engine(bnet, varargin) % JTREE_DBN_INF_ENGINE Junction tree inference algorithm for DBNs. % engine = jtree_inf_engine(bnet, ...) % % The following optional argument
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m evalfis1.m

function [output_stack,IRR,ORR,ARR] = evalfis(input_stack, fismatrix); % EVALFIS Evaluation of a fuzzy inference system. % OUTPUT_STACK = EVALFIS(INPUT_STACK, FISMATRIX) computes the % output o
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vhd 简单的锁存器.vhd

-- Latch Inference -- Download from: http://www.fpga.com.cn Library IEEE ; use IEEE.std_logic_1164.all ; ENTITY latchinf IS PORT ( enable, data : IN BIT; q : OUT BIT ); END l
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h dummyinference.h

#ifndef DUMMYINFERENCE_H #define DUMMYINFERENCE_H #include "InferenceMethod.h" #include "VarConfig.h" // Really dumb inference algorithm; always returns 0. // Good for baseline time. class DummyInfer
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c fis.c

/* * Stand-alone C codes for fuzzy inference systems. * (This file is included in fismain.c) * J.-S. Roger Jang, 1994. * Copyright 1994-2001 The MathWorks, Inc. */ /* * Copyright 1994
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m mktipper.m

%MKTIPPER Build tipper FIS with commands. % This script shows how you would build an entire fuzzy % inference system from the command line. % Ned Gulley, 2-1-95 % Copyright 1994-2002 The
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vhd 简单的锁存器.vhd

-- Latch Inference -- Download from: http://www.fpga.com.cn Library IEEE ; use IEEE.std_logic_1164.all ; ENTITY latchinf IS PORT ( enable, data : IN BIT; q : OUT BIT ); END l
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m bnbootstrap.m

function Ehat = bnBootstrap(X,Y,w,k,F,bi,nr) % Ehat = bnBootstrap(X,Y,w,k,F,bi,nr) - Bootstrap for Boolean Network inference % % Function estimates the (possibly weighted) error of all predictor
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m bnloocv.m

function Ehat = bnLOOCV(X,Y,w,k,F,bi) % Ehat = bnLOOCV(X,Y,w,k,F,bi) - LOOCV for Boolean Network inference % % Function estimates the (possibly weighted) error of all predictor % variable (rows
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m bnsteadystateerrors.m

function [Ehat,Fhat] = bnSteadyStateErrors(eem,X,w,k,F,bi,nr,cvk) % [Ehat,Fhat] = bnSteadyStateErrors(eem,X,w,k,F,bi,nr,cvk) - Predictor inference % % Function estimates the (possibly weighted) p