Tuesday 6:00-9:00pm,
Ricketts 212
Instructors: Bill Cheetham, Kai Goebel |
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Office: Ricketts 212 |
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Office Hours: TBD |
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Phone: 387-5222 (Bill), 387-4194 (Kai) |
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Email: cheetham@cs.rpi.edu, goebel@cs.rpi.edu |
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The viewgraphs are in pdf format. You can use ghostview or adobe acrobat reader to view
the pdf.
Note: viewgraphs are linked for past and current lectures/homework only
DATE |
TOPIC |
READING |
OUT/DUE |
8/28 |
Course Description - Kai Introduction: What is SC? Why is it useful? - Bill, Fuzzy Sets; - Kai |
Jang: Forward, Preface |
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9/4 |
Fuzzy Reasoning; Fuzzy Inference - Kai (6slide/page format: FR, FI) |
Jang: 2, 3, 4 |
HW
2 out |
9/11 |
Class Cancelled |
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9/18 |
Gradient descent optimization: least squares methods - Bill Genetic Algorithms -Bill Applications of GA's - Class (6slides/page format: Gradient, GA, CryptoQuote) |
Jang 5, 7.2 |
Due: HW 2 HW
3 (with iris2D.dat),
out |
9/25 |
Fuzzy
Applications - Kai (6slides/page format: DT, FC, FA, FIP, FDF, FD, IF) |
Jang: 14, 15, 16 Lecture notes |
HW
4, out Due: HW 3 |
10/2 |
Fuzzy
Image Processing; Fuzzy
Data Fusion; Fuzzy Diagnosis; Neural
Networks: Supervised Learning: Hopfield Nets, Perceptrons, gradient descent,
multilayer nets, backpropagation, overfitting - Kai (6 slides/page format: NN). |
Jang: 9 |
HW
5 out; |
10/9 |
NO CLASS - |
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10/16 |
Supervised Learning summary; Reinforcement Learning, Unsupervised Learning; Clustering & Classification - Kai Applications of Neural Networks – Class |
Jang: 9, 10, 11, 15 |
HW
6 out (iris4D.dat) |
10/23 |
Case-Based Reasoning: nearest neighbor, explanation-based
learning, case selection, case adaptation -Bill Automated Collaborative Filtering - Bill |
Watson: 1, 2, 3, 4.1 |
HW
7 out |
10/30 |
Applications of CBR: Color Matching - Bill |
Watson: 5,6,7,8 |
HW 8 out (appraiser.m, house_database.dat, test_houses.dat) Including Project Plan |
11/6 |
Applications of CBR: APVT, C4.5 - Bill CBR for Help Desks, ELSI – Bill |
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HW
9 out Due: HW 8 |
11/13 |
Hybrid Systems: ANFIS, Fuzzy Filtered NN & Neural
Fuzzy Systems, GA tuned Fuzzy System, Adaptive Fuzzy Clustering, etc.,
Summary Remarks - Kai |
Handouts |
HW 10 out |
11/20 |
BBN - demo - Bill (6 slides/page format: BBN) |
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HW
11 out |
11/27 |
one-on-one project discussions |
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Due: HW 11 |
12/4 |
Presentations & Pizza |
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Due: Final Project |