'Model family' presentation slideshows

Regularization for Deep Learning

Regularization for Deep Learning. C. Lee Giles. Thanks to Alexander Ororbia and Sargur Srihari. What is Regularization?. Goals of Regularization. Regularize Your Estimator!. regularizer. Regularization & Model Types. The Value of Regularization. Model family. Finding the Best Model.

1.88k views • 121 slides

Conditional Random Fields

1.16k views • 86 slides

Goodness of Fit using Bootstrap

Goodness of Fit using Bootstrap. G. Jogesh Babu Center for Astrostatistics http://astrostatistics.psu.edu. Astrophysical Inference from astronomical data. Fitting astronomical data Non-linear regression Density (shape) estimation Parametric modeling Parameter estimation of assumed model

384 views • 21 slides

Goodness of Fit using Bootstrap

Goodness of Fit using Bootstrap. G. Jogesh Babu Center for Astrostatistics http://astrostatistics.psu.edu. Astrophysical Inference from astronomical data. Fitting astronomical data Non-linear regression Density (shape) estimation Parametric modeling Parameter estimation of assumed model

369 views • 21 slides

Goodness of Fit using Bootstrap

Goodness of Fit using Bootstrap. G. Jogesh Babu Center for Astrostatistics http://astrostatistics.psu.edu. Astrophysical Inference from astronomical data. Fitting astronomical data Non-linear regression Density (shape) estimation Parametric modeling Parameter estimation of assumed model

212 views • 21 slides