代码搜索：Inference
找到约 1,820 项符合「Inference」的源代码
代码结果 1,820
www.eeworm.com/read/334076/12642970
m discfis.m
function [XI,YI,XO,YO,R] = discfis(fis,numPts)
%DISCFIS Discretize a fuzzy inference system.
% [XI,YI,XO,YO,R] = DISCFIS(fis,numPts) discretizes all the membership
% functions for the input and
www.eeworm.com/read/389692/8507168
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
www.eeworm.com/read/373369/9460758
java new.java
//: net/mindview/util/New.java
// Utilities to simplify generic container creation
// by using type argument inference.
package net.mindview.util;
import java.util.*;
public class New {
publ
www.eeworm.com/read/169058/9883448
java new.java
//: net/mindview/util/New.java
// Utilities to simplify generic container creation
// by using type argument inference.
package net.mindview.util;
import java.util.*;
public class New {
publ
www.eeworm.com/read/359005/10171544
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
www.eeworm.com/read/332978/7142005
java new.java
//: net/mindview/util/New.java
// Utilities to simplify generic container creation
// by using type argument inference.
package net.mindview.util;
import java.util.*;
public class New {
publ
www.eeworm.com/read/325023/13231566
java new.java
//: net/mindview/util/New.java
// Utilities to simplify generic container creation
// by using type argument inference.
package net.mindview.util;
import java.util.*;
public class New {
publ
www.eeworm.com/read/140847/5779163
m chmm1.m
% Compare the speeds of various inference engines on a coupled HMM
N = 3;
Q = 2;
rand('state', 0);
randn('state', 0);
discrete = 0;
if discrete
Y = 2; % size of output alphabet
else
Y = 3; % size
www.eeworm.com/read/140847/5779167
m kjaerulff1.m
% Compare the speeds of various inference engines on the DBN in Kjaerulff
% "dHugin: A computational system for dynamic time-sliced {B}ayesian networks",
% Intl. J. Forecasting 11:89-111, 1995.
%
% Th
www.eeworm.com/read/140847/5779512
m belprop_inf_engine.m
function engine = belprop_inf_engine(bnet, varargin)
% BELPROP_INF_ENGINE Make a loopy belief propagation inference engine
% engine = belprop_inf_engine(bnet, ...)
%
% This is like pearl_inf_engine,