代码搜索：Approximation

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/176823/9483093

m evidence.m

function [net, gamma, logev] = evidence(net, x, t, num) %EVIDENCE Re-estimate hyperparameters using evidence approximation. % % Description % [NET] = EVIDENCE(NET, X, T) re-estimates the hyperparamete
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www.eeworm.com/read/366144/9827990

m gmmake_circ.m

function b = gmmake_circ(numsubdiv) % gmmake_circ: Make a cubic bezier spline approximation to a circle. % b = gmmake_circ(numsubdiv) % returns a brep b that is a cubic bezier spline with numsubdiv %
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www.eeworm.com/read/366144/9828520

di test1.di

Thu Sep 02 17:52:23 Eastern Daylight Time 1999 -----> ## QMG test 1 Thu Sep 02 17:52:23 Eastern Daylight Time 1999 -----> ## This is an approximation to the mesh on the cover of Claes Thu
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www.eeworm.com/read/360895/10072673

m trainlssvm.m

function [model,b,X,Y] = trainlssvm(model,X,Y) % Train the support values and the bias term of an LS-SVM for classification or function approximation % % >> [alpha, b] = trainlssvm({X,Y,type,gam,ke
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www.eeworm.com/read/425546/10348970

m evidence.m

function [net, gamma, logev] = evidence(net, x, t, num) %EVIDENCE Re-estimate hyperparameters using evidence approximation. % % Description % [NET] = EVIDENCE(NET, X, T) re-estimates the hyperpara
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www.eeworm.com/read/278889/10490548

m trainlssvm.m

function [model,b,X,Y] = trainlssvm(model,X,Y) % Train the support values and the bias term of an LS-SVM for classification or function approximation % % >> [alpha, b] = trainlssvm({X,Y,type,gam,ke
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www.eeworm.com/read/421949/10676080

m trainlssvm.m

function [model,b,X,Y] = trainlssvm(model,X,Y) % Train the support values and the bias term of an LS-SVM for classification or function approximation % % >> [alpha, b] = trainlssvm({X,Y,type,gam,ke
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www.eeworm.com/read/469416/6976333

m evidence.m

function [net, gamma, logev] = evidence(net, x, t, num) %EVIDENCE Re-estimate hyperparameters using evidence approximation. % % Description % [NET] = EVIDENCE(NET, X, T) re-estimates the hyperpara
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www.eeworm.com/read/469123/6977850

html sparse-approx.html

Approximation Methods for Gaussian Process Regression
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www.eeworm.com/read/449131/7517938

m driver_hw.m

% % driver.m % % use bisect.m and newt1d.m to compute an approximation % of the root of f(x) = cos(x)*cosh(x)+1 % % Matthias Heinkenschloss % Department of Computational and Applied Mathematics
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