代码搜索:kernel

找到约 10,000 项符合「kernel」的源代码

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www.eeworm.com/read/387560/8665215

m em_fbp.m

function [xfbp, sino] = em_fbp(sg, ig, yi, ci, ri, varargin) %function [xfbp, sino] = em_fbp(sg, ig, yi, ci, ri, [options]) % Emission FBP reconstruction from Poisson measurements % model: Y_i ~ Pois
www.eeworm.com/read/287735/8673224

plg 跳马1.plg

Build Log --------------------Configuration: 跳马1 - Win32 Debug-------------------- Command Lines Creating temporary file "C:\DOCUME~1\xhy\LOCAL
www.eeworm.com/read/287340/8693495

lst api.lst

API:KERNEL32.dll:AddAtomA LPSTR API:KERNEL32.dll:AddAtomW LPWSTR API:KERNEL32.dll:AllocConsole VOID API:KERNEL32.dll:BackupRead HANDLE LPDATA DWORD LPDATA
www.eeworm.com/read/287267/8699001

m exmulticlassall.m

% % % example of multiclass SVM using M-SVM % % % 06/01/2003 Alain Rakotomamonjy close all clear all %-------------------------------------------------- n=10; sigma=0.5; x1
www.eeworm.com/read/287267/8699027

m tuningkerex7.m

% % SVM Classification 2D examples % % % Optimizing the kernel parameters by means of of gradient descent % with regards to the leave one out error from R^2w^2. % % See O. Chapelle, V. Vapn
www.eeworm.com/read/287267/8699032

m mregwav1.m

% Example of multiscale approximation using % Regularization Networks % % Learning parameters "lambda" have to be tuned % for instance by means of a cross-validation. % Wavelet frame are used f
www.eeworm.com/read/287267/8699034

m framekernelex1.m

% % Example of SVM approximation wavelet frame kernel % is compared to Gaussian kernel % % The conclusion of this test is that % both kernels seem to give equivalent results. % % 10/12/2000 A
www.eeworm.com/read/287267/8699037

m mregwav2.m

% Example of multiscale approximation using % Regularization Networks % % Sin/Sinc frame are used for approximating a % Sin + sinc functions. % % % 30/10/2000 AR % % close all clear all
www.eeworm.com/read/287267/8699054

m mregcvex.m

% % Example of multiscale approximation % Hyperparameters adjustments by CrossValidation % % A training set is a available. % a validation set is chosen so the model hyperparameters are adjusted
www.eeworm.com/read/287267/8699063

m exnlrlpsvm.m

% % % Examples of Non linear Robust linear program SVM % % % % min C sum nu_j + sum s_j % % st y_i ( sum_j w_j y_j K(x_i,x_j) -b ) + nu_i >= 1 % nu >=0 % -s_j