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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
Hamid R. Tizhoosh
Teaching
Computer Vision
Machine Intelligence
Data Structures
SYDE 750
SYDE 202 (Class Prof)
Research
Pattern Recoginition
Computer Vision
Machine Intelligence
Terahertz Imaging
Health Engineering
Opposition-Based Learning
Students
Current Students
Former Students
Projects
LORNET
Prostate Cancer
Breast Cancer
Radiation Therapy
Other Projects
Publications
Books & Chapters
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University of Waterloo :: Faculty of Engineering :: Systems Design

Teaching …
SYDE422 - Machine Intelligence

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.

Textbook

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

Workload & Marking Scheme

  • TBD

     

Office Hours

TBD

Course Project: Paper Template

Papers

 

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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