CSI 991

Seminar in Computational Statistics:

Recent articles in computational learning and computational statistics

Spring, 2014

Fridays 4:00pm -- 5:00pm
Music Theater Building 1008

CSI 991 Section 001

Contact:
jgentle@gmu.edu

The seminar will be conducted in the form of a journal club.

The objective is three-fold:

to be exposed to summaries of a sampling of the recent literature,
to work carefully through two examples of recent research, possibly in the area in which the student will do dissertation research.
to gain experience in making a research presentation.

Students who are enrolled in the class will be required to make two 30-to-45-minute presentations, each summarizing a recent article in computational learning or computational statistics. ("Recent" means 2005 or later.)

A brief written report is also required. This can be in the form of straight text (5 or 6 pages) or a copy of the presentation slides.

The presentations can be simple summaries, or, preferably, critical reviews citing other work or possible approaches. Monte Carlo studies or applications on sample datasets would be nice.

Make sure that work that is supposed to be yours is indeed your own.

With cut-and-paste capabilities on webpages, it is easy to plagiarize.
Sometimes it is even accidental, because it results from legitimate note-taking; nevertheless, it is plagiarism and it is illegal.
Whenever you include a picture, graphic, or text from another source, give a clear citation of the previous work.

Schedule

January 24
Organization and plans.
Find online articles at http://library.gmu.edu/
Click on "E-Journals" and then enter keyword such as
"machine learning", "statistical learning", "computational statistics", etc. or else enter the name of a specific journal.
Assignment 1; due January 31: Select an article for your first presentation. Email bibliographic info (author, year, title, journal/proceedings name, page numbers) to instructor.
January 31 through March 21 class does not meet

Assignment 2; due March 28: Select an article for your second presentation. Email bibliographic info (author, year, title, journal/proceedings name, page numbers) to instructor.
March 28
Presentation by Prabal Saxena.
U. Rebbapragada, P. Protopapas, C.E. Brodley and C. Alcock (2009), Finding Anomalous Periodic Time Series: An application to catalogs of periodic variable stars, Machine Learning, vol. 74, 281--313.
April 4
Presentation by Mayowa Aregbesola.
Marco Barreno, Blaine Nelson, Anthony D. Joseph, and J. D. Tygar (2010) ,The Security of Machine Learning, Machine Learning Journal, vol. 81, 121--148.
April 11
Presentation by Mayowa Aregbesola.
Javed, Umar, Dongsu Han, Ramon Caceres, Jeffrey Pang, Srinivasan Seshan, and Alexander Varshavsky (2012), Predicting handoffs in 3G networks. SIGOPS Operating Systems Review 45, 3 (January 2012), 65-70.
April 25
Presentation by Prabal Saxena.
Zhang, Yanxia, and Yongheng Zhao (2003), Classification in Multidimensional Parameter Space: Methods and Examples, The Publications of the Astronomical Society of the Pacific, Volume 115, Issue 810, pp. 1006-1018.