代码搜索：Stepwise

找到约 97 项符合「Stepwise」的源代码

代码结果 97
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/415311/11077244

m sohc.m

function [features, targets, label] = SOHC(train_features, train_targets, Nmu, region, plot_on) %Reduce the number of data points using the stepwise optimal hierarchical clustering algorithm %Inpu
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www.eeworm.com/read/232874/4695980

m regex01.m

function RegEx01(X,y,b) % Plots results for Forward Stepwise Algorithm against the true % underlying model. %Find sparse solutions, with true model unknown [bhatstep, activationHist, tHist]=So
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www.eeworm.com/read/232874/4695981

m regex02.m

function RegEx02(X,y,b) % Plots results for Forward Stepwise Algorithm, with False Discovery Rate Threshold, % against the true underlying model. %Find sparse solutions, with true model unknown
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www.eeworm.com/read/362099/10019215

m initmod2.m

function [indsld, wsld] = initmod2(pmat, nbwavelon, y, nbvar); %Initmod2: WaveNet initialization mode 2. % % [indsld, wsld] = initmod2(pmat, nbwavelon, y, nbvar) % %Algorithm: Stepwise Regressor
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www.eeworm.com/read/416438/11025357

m initmod2.m

function [indsld, wsld] = initmod2(pmat, nbwavelon, y, nbvar); %Initmod2: WaveNet initialization mode 2. % % [indsld, wsld] = initmod2(pmat, nbwavelon, y, nbvar) % %Algorithm: Stepwise Regressor
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www.eeworm.com/read/373627/9445805

html stepaic.html

R: Choose a model by AIC in a Stepwise Algorithm
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www.eeworm.com/read/143425/6930480

m arfit.m

function [w, A, C, sbc, fpe, th]=arfit(v, pmin, pmax, selector, no_const) %ARFIT Stepwise least squares estimation of multivariate AR model. % % [w,A,C,SBC,FPE,th]=ARFIT(v,pmin,pmax) produces estimat
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www.eeworm.com/read/441178/7675096

m arstepfit.m

function [w, A, C, sbc, fpe, th]=arfit(v, pmin, pmax, selector, no_const) %ARFIT Stepwise least squares estimation of multivariate AR model. % % [w,A,C,SBC,FPE,th]=ARFIT(v,pmin,pmax) produces estimat
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www.eeworm.com/read/341201/12103661

m arfit.m

function [w, A, C, sbc, fpe, th]=arfit(v, pmin, pmax, selector, no_const) %ARFIT Stepwise least squares estimation of multivariate AR model. % % [w,A,C,SBC,FPE,th]=ARFIT(v,pmin,pmax) produces estimat
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www.eeworm.com/read/114454/15052874

m arfit.m

function [w, A, C, sbc, fpe, th]=arfit(v, pmin, pmax, selector, no_const) %ARFIT Stepwise least squares estimation of multivariate AR model. % % [w,A,C,SBC,FPE,th]=ARFIT(v,pmin,pmax) produces esti
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