Prerequisites: CS 580
Instructor: Prof. Harry
Wechsler wechsler@gmu.edu
Course Description:
Course covers concepts and techniques in artificial
intelligence (AI) for multidisciplinary applications. Topics include basics in
probability, statistics, information theory; model selection, complexity, and prediction; learning, training and
cross-validation strategies; neural
networks and pattern recognition; uncertain knowledge and reasoning; statistical learning, support vector
machines (SVM), semi-supervised learning, transduction, collective learning and
stochastic relaxation, and anomaly / outlier detection; adversarial learning; ensemble
and voting methods; comparative performance evaluation; natural language processing (NLP) using probabilistic learning
[Hidden Markov Models (HMM), probabilistic Latent Semantic Analysis (pLSA), and
Latent Dirichlet Allocation (LDA)] for text (“document”) retrieval, security applications (“spam and
phishing detection”), image analysis
(“object localization and recognition”), and biometrics (“face”); emerging themes and future challenges (lack of
annotation, uncontrolled settings, interoperability, privacy). (Team) Term project required.
Time, Day, and Venue: M – Monday, 7:20 –
10:00 pm,
Art
and Design Building 2026
Office Hours: M – Monday, 6:00 – 7:00
pm, ENGR 4448
http://registrar.gmu.edu/calendars/2014spring/
First
day of classes: Monday, January 27
Spring
Break [March 10 – 16]: no class on Monday, March 10
Last day of classes: Monday, May 5
Textbook:
Artificial
Intelligence by Russell and Norvig, 3rd ed., Prentice Hall, 2010.
Textbook Website (and slides) (for reference): aima.cs.berkeley.edu(http://aima.eecs.berkeley.edu/slides-pdf/)
·
Homework
– 30%
·
Mid
Term – Monday, March 3 – 30 %
·
(Team)
Project – Class (Slide)
Presentation and Final Report, April 28 & May 5 – 40%
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/
Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies