Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision

Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo

Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence

Opposition-Based Learning

University of Waterloo :: Faculty of Engineering :: Systems Design

Teaching …
SYDE422 - Machine Intelligence (Winter 2007)

Course Description

The objective of this course is to introduce the students to current intelligent system concepts.
An overview of different learning schemes will be provided, including: Decision Tree, Bayesian,Inductive, Analytical and Rule-Based Learning. The main focus of the course will be on Neural Nets, Genetic Algorithms and Reinforcement Learning.

Lectures	Tutorials

Lectures: 8:30AM - 9:50AM Tu,Th 01/03/2007 - 04/03/2007 Location: E2 1303E	Tutorials 1:30-2:20PM W Location 1303E

Textbook

No particular textbook will be used. A list of references along with course notes will be provided.

Workload & Marking Scheme

Assignments: 30%
Project: 70%

List of Suggested Projects

Assignments

Assignment #1 - Regression
Assignment #2
Assignment #3
Assignment #4

Papers

Alan Turing

Turing held that computers would in time be programmed to acquire abilities rivalling human intelligence. As part of his argument Turing put forward the idea of an 'imitation game', in which a human being and a computer would be interrogated under conditions where the interrogator would not know which was which, the communication being entirely by textual messages. Turing argued that if the interrogator could not distinguish them by questioning, then it would be unreasonable not to call the computer intelligent. Turing's 'imitation game' is now usually called 'the Turing test' for intelligence.

Source: www.turing.org.uk

Created by: Log Web Design

Teaching … SYDE422 - Machine Intelligence (Winter 2007)