Instructor: Prof. Harry
Wechsler wechsler@gmu.edu
Email correspondence using GMU accounts with subject CS 775
Course Description – Bayes, Convolutional Neural Networks (CNN) and Deep Learning, Self-Organization & Vector Quantization (VQ), Count and Predict (Bag of Words and word2vec), Latent Dirichlet Analysis (LDA), and Conformal Prediction (including semi-supervised learning and transduction) with applications to biometrics, contents-based image retrieval (CBIR), document classification, and natural language processing.
Time, Day, and Venue: T – Tuesday, 7:20 – 10:00 pm
– Art and Design Building 2026
Office Hours: T 6:15 – 7:00 pm by appointment: ENGR 4448
http://registrar.gmu.edu/calendars/fall-2016-semester/
First day of classes: Tuesday, August 30
No
classes on Tuesday, October 11 (Columbus Day recess)
Last Day of Classes: Tuesday, December 6
http://registrar.gmu.edu/calendars/fall-2016-semester/final-exams/
Final Exam: Tuesday, December 13, 7:30 – 10:15 pm
Required Textbook: Kevin Murphy, Machine Learning: A
Probabilistic Perspective, MIT Press, 2012.
Reference Textbooks: (1) Cherkassky and
Mulier, Learning from Data (2nd.
ed.), Wiley, 2007 (on reserve and also available on line through GMU IEEE
Xplore); (2) Balasubramanian, Ho, and Vovk, Conformal Prediction for reliable
machine learning, Morgan Kauffman, 2014 (on reserved and also available on line
http://mutex.gmu.edu/login?URL=http://proquest.safaribooksonline.com/9780123985378); (3)
Lecture Notes on Pattern Recognition http://psi.cse.tamu.edu/teaching/lecture_notes/
CLOSED BOOK and NOTES
EXAMINATIONS
·
Team
Term Project 1 – October
4 – 25%
·
Team
Term Project 2 – November
8 – 25%
·
Team
Term Project 3 – December 6 – 30 %
·
Midterm
– October
18 – 10%
·
(Cumulative)
Final – December 13 –
10 %
http://www.fcps.edu/southcountyhs/sservices/gradescale.html
You are expected to abide by the GMU honor code. Homework assignments and exams are individual efforts. Information on the university honor code can be found at
http://oai.gmu.edu/the-mason-honor-code-2/
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies