代码搜索:Inversion

找到约 626 项符合「Inversion」的源代码

代码结果 626
www.eeworm.com/read/429504/8804801

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/428451/8867225

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/427586/8932002

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/183445/9158681

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/376085/9332665

sp fig33_19.sp

* Figure 33.19 CMOS: Mixed-Signal Circuit Design * * Using the BSIM4 model * * Comparison between strong, moderate, and weak inversion * * using an R-2R (W-2W) based current mirror (see text.) *
www.eeworm.com/read/374698/9388859

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/360895/10072672

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/278889/10490530

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/421949/10676064

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ
www.eeworm.com/read/397122/8065814

m leaveoneout_lssvm.m

function [costs, z, yh, model] = leaveoneout_lssvm(model,gams, estfct) % Fast leave-one-out cross-validation for the LS-SVM based on one full matrix inversion % % >> cost = leaveoneout_lssvm({X,Y,typ