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/123143/14645382
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/251838/4414552
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/251838/4414558
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/251838/4415131
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,
www.eeworm.com/read/251838/4415199
m var_elim_inf_engine.m
function engine = var_elim_inf_engine(bnet, varargin)
% VAR_ELIM_INF_ENGINE Variable elimination inference engine
% engine = var_elim_inf_engine(bnet)
%
% For details on variable elimination, see
% -
www.eeworm.com/read/251838/4415205
readme
% Stable conditional Gaussian inference
% Originally written by Huang, Shan 2001
% Fixed by Rainer Deventer 2003
@techreport{Lauritzen99,
author = "S. Lauritzen and F. Jense
www.eeworm.com/read/251838/4415257
m ff_inf_engine.m
function engine = ff_inf_engine(bnet)
% FF_INF_ENGINE Factored frontier inference engine for DBNs
% engine = ff_inf_engine(bnet)
%
% The model must be topologically isomorphic to an HMM.
% In addition
www.eeworm.com/read/251838/4415385
m frontier_inf_engine.m
function engine = frontier_inf_engine(bnet)
% FRONTIER_INF_ENGINE Inference engine for DBNs which which uses the frontier algorithm.
% engine = frontier_inf_engine(bnet)
%
% The frontier algorithm ext
www.eeworm.com/read/251522/4419072
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,
www.eeworm.com/read/251522/4419108
m var_elim_inf_engine.m
function engine = var_elim_inf_engine(bnet, varargin)
% VAR_ELIM_INF_ENGINE Variable elimination inference engine
% engine = var_elim_inf_engine(bnet)
%
% For details on variable elimination, see
% -