'Training data examples' presentation slideshows

Bayesian Learning & Gaussian Mixture Models

Bayesian Learning & Gaussian Mixture Models. Jianping Fan Dept of Computer Science UNC-Charlotte. Basic Classification. Input. Output. Spam vs. Not-Spam. Spam filtering. Binary. !!!!$$$!!!!. Multi-Class. Character recognition. C. C vs. other 25 characters.

719 views • 66 slides

Introduction to Bioinformatics: Lecture VIII Classification and Supervised Learning

309 views • 20 slides

Introduction to Bayesian Learning

Introduction to Bayesian Learning. Ata Kaban A.Kaban@cs.bham.ac.uk School of Computer Science University of Birmingham. Overview. Today we learn about: Bayes rule & turn this into a classifier E.g. How to decide if a patient is ill or healthy, based on

313 views • 18 slides

Introduction to Bayesian Learning

Introduction to Bayesian Learning. Ata Kaban A.Kaban@cs.bham.ac.uk School of Computer Science University of Birmingham. Overview. Today we learn: Bayesian classification E.g. How to decide if a patient is ill or healthy, based on A probabilistic model of the observed data

188 views • 18 slides