'Posterior evidence' presentation slideshows

Bayesian regularization of learning

Bayesian regularization of learning. Sergey Shumsky NeurOK Software LLC. Induction F.Bacon Machine. Deduction R.Descartes Math. modeling. Learning. Scientific methods. Models. Data. Outline. Learning as ill-posed problem General problem: data generalization

717 views • 55 slides

Bayesian Inference and Posterior Probability Maps

Bayesian Inference and Posterior Probability Maps . Guillaume Flandin. Wellcome Department of Imaging Neuroscience, University College London, UK. SPM Course, London, May 2005. Overview. Introduction Bayesian inference Segmentation and Normalisation Gaussian Prior and Likelihood

740 views • 33 slides

EEG/MEG Source Localisation

623 views • 32 slides

Naive Bayes

Naive Bayes. Independent Attributes. likelihood. likelihood. prior. posterior. evidence. Bayes Theorem. Maximum A Posteriori. Bayes formula. Bottom is independent of class. Attributes are independent. prior. likelihoods. Estimating Probabilities . likelihood probabilities.

297 views • 5 slides