We won't have a formal textbook this semester, instead, we will be reading a variety of sources. I will try to make these available electronically whenever possible and whenever legal. However, you may occasionally have to obtain a copy of the readings from an alternative source. We will talk about this issue in class as needed.
Reading Set #1 - Introduction to Intelligent/Expert Systems
The following are pdf scans of chapters from two older textbooks. They are only available from a UNI on-campus machine. I will also have copies available outside of my office to borrow and photocopy.
Reading Set #2 - Student Term Papers from AI
Reading Set #3 - Student Term Papers from AI
Reading Set #4 - Student Term Papers from AI
Reading Set #5 - Student Term Papers from AI
Reading Set #6 - Additional Readings to assist with your projects
Readings discussion led by Team First
Reading Set #7 - Additional Readings to assist with your projects
A Brief Introduction to Recommender Systems http://csdl2.computer.org/comp/mags/ex/2007/03/x3018.pdf
On the Gravity Recommendation System (one attempt at solving the Netflix Challenge) http://www.cs.uic.edu/~liub/KDD-cup-2007/proceedings/gravity-Tikk.pdf
Backpropagation ANNs (up to section 2.2 "Counterpropagation") https://math-cs.cns.uni.edu/~schafer/uni-web/backpropagation.pdf
Reading Set #8 - Additional Readings to assist with your projects
http://nlp.stanford.edu/projects/nlkr/scoper.pdf
http://portal.acm.org/citation.cfm?id=1056941&jmp=abstract&coll=GUIDE&dl=GUIDE http://nlp.stanford.edu/pubs/robust_precise_acl04.pdf