代码搜索:ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
www.eeworm.com/read/408292/11398169

m fit_model_hier_hmm.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398177

m fit_model_hmm.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398189

m fit_model_hier_hmm_maineffects.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398204

m fit_model_hier_hmm_timesq.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398209

m fit_model_hier_hmm_time.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398224

m fit_modelbrain_domain_theta_treat.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398231

m fit_modelbrain_hmm.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398233

m fit_modelbrain_hmm_domain.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/408292/11398236

m fit_modelbrain_domain_theta.m

%main file for estimation prob graphical models %here, the hierarchical hidden markov model with time interval as a covariate for transitions between signals is taken as an example %see the examples
www.eeworm.com/read/400577/11572970

m parzenml.m

%PARZENML Optimum smoothing parameter in Parzen density estimation. % % H = PARZENML(A) % % INPUT % A Input dataset % % OUTPUT % H Scalar smoothing parameter (in case of crisp labels) %