skip to content

CSE4403

User Tools

Log In

Site Tools

Recent Changes
Media Manager
Sitemap

You are here: Your Course » Lectures

Trace: • Lectures

Sidebar

What's New
Course Outline
Important Dates
Grades
Assignments and Final Exam
Handouts
Contact
Policies
Resources
Textbook
Books, Monographs and Theses
Lectures
Projects
Related material
FAQs
Academic Dishonesty

lectures

This is an old revision of the document!

Lectures

The Lectures for this course include:

Lecture 1 - course introduction and fuzzy logic
Lecture 2 - preliminaries and fuzzy logic
- Alternative Lecture 2 - Rough Sets in KDD: Tutorial Notes
Lecture 3 - finish fuzzy logic and begin rough sets
- fuzzy logic cases
Lecture 4 - more roughsets
Lecture 5 - more roughsets-Various Reducts & Rough Sets Applications
Lecture 6 - Neural Networks
Lecture 7 - More on Neural Networks
Lecture 8 - Evolutionary Computing: What
Lecture 9 - Genetic Algorithms & Evolution Strategies
Lecture 10 - Evolutionary & Genetic Programming
Lecture 11 - Probabilistic Reasoning: Why
Lecture 12 - Bayesian Networks
Lecture 13 - Discussion on Bayesian Networks
Lecture 14 - Recurrent Neural Networks
|Lecture 15 - Web Intelligence, Brain Informatics and Granular Computing
Lecture 15a - Web Intelligence meet Brain Informatics
Lecture 16 - Granular Computing

lectures.1298918630.txt.gz · Last modified: 2011/02/28 18:43 by nick

Page Tools

Show pagesource
Old revisions
Backlinks
Back to top