代码搜索:Problem

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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