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/334076/12642845
m evalfis.m
function [output_stack,IRR,ORR,ARR] = evalfis(input, fis, numofpoints);
% EVALFIS Perform fuzzy inference calculations.
% Synopsis
% output= evalfis(input,fismat)
% output= evalfis(input,
www.eeworm.com/read/428451/8867200
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/427586/8931948
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/183445/9158642
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/374698/9388836
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/278889/10490479
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/421949/10676037
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/397122/8065777
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/331336/12832438
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/324303/13273697
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay