'Na ve bayes assumption' presentation slideshows

Text Categorization

Text Categorization. Categorization. Problem: Given a universe of objects and a pre-defined set of classes, or categories, assign each object to its correct class. Examples:. Overview. Definition of Text Categorization Techniques Decision Trees Maximum Entropy Modeling

1.33k views • 107 slides

Text Classification

697 views • 69 slides

2D1431 Machine Learning

416 views • 41 slides

ECE 5424: Introduction to Machine Learning

382 views • 36 slides

ECE 5984: Introduction to Machine Learning

361 views • 36 slides

INC 551 Artificial Intelligence

INC 551 Artificial Intelligence. Lecture 11 Machine Learning (Continue). Bayes Classifier. Bayes Rule. Play Tennis Example. John wants to play tennis everyday. However, in some days, the condition is not good. So, he decide not to play.

384 views • 27 slides

Object detection

Object detection. Presented by Minh Hoai Nguyen Date: 28 March 2007. Object detection?. What we want. Miss a face!. Happy face!. Scanning window. Train a classifier on a fixed size window. Outline. Object Detection Using the Statistics of Parts

825 views • 25 slides

A survey on using Bayes reasoning in Data Mining

429 views • 24 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