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/376170/9327520
spec~ qgo.spec~
# This spec file was generated by KDevelop
# Please report any problem to KDevelop Team
# Thanks to Matthias Saou for his explanations on http://freshrpms.net/docs/figh
www.eeworm.com/read/376170/9327544
spec qgo.spec
# This spec file was generated by KDevelop
# Please report any problem to KDevelop Team
# Thanks to Matthias Saou for his explanations on http://freshrpms.net/docs/figh
www.eeworm.com/read/177674/9442373
m demhmc3.m
%DEMHMC3 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/177674/9442393
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/177674/9442445
m demgp.m
%DEMGP Demonstrate simple regression using a Gaussian Process.
%
% Description
% The problem consists of one input variable X and one target variable
% T. The values in X are chosen in two separated c
www.eeworm.com/read/177674/9442497
m demhmc2.m
%DEMHMC2 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/177674/9442614
m demrbf1.m
%DEMRBF1 Demonstrate simple regression using a radial basis function network.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling
www.eeworm.com/read/176823/9483080
m demhmc3.m
%DEMHMC3 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling.
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/176823/9483098
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/176823/9483147
m demgp.m
%DEMGP Demonstrate simple regression using a Gaussian Process.
%
% Description
% The problem consists of one input variable X and one target variable
% T. The values in X are chosen in two separated c