代码搜索：Problem
找到约 10,000 项符合「Problem」的源代码
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www.eeworm.com/read/367160/9778562
in dsg.in
DSG: Data file for testing Generalized Symmetric Eigenvalue Problem routines
7 Number of values of N
0 1 2 3 5 10 16 Values of N (dimension)
3
www.eeworm.com/read/367160/9778660
in ssg.in
SSG: Data file for testing Generalized Symmetric Eigenvalue Problem routines
7 Number of values of N
0 1 2 3 5 10 16 Values of N (dimension)
3
www.eeworm.com/read/367160/9778664
in zsg.in
ZSG: Data file for testing Generalized Hermitian Eigenvalue Problem routines
7 Number of values of N
0 1 2 3 5 10 16 Values of N (dimension)
3
www.eeworm.com/read/170936/9779141
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/170936/9779187
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu
www.eeworm.com/read/170936/9779358
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/170936/9779407
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. The da
www.eeworm.com/read/367160/9779658
in csg.in
CSG: Data file for testing Generalized Hermitian Eigenvalue Problem routines
7 Number of values of N
0 1 2 3 5 10 16 Values of N (dimension)
3
www.eeworm.com/read/415537/11065416
txt using google as a calculator, a tutorial.txt
How to use the Google calculator:
Google抯 calculator tries to understand the problem you are attempting to solve without requiring you to use special syntax. However, it may be helpful to know the
www.eeworm.com/read/415313/11076361
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by compu