Research

I am a Ph.D. student in the Department of Brain & Cognitive Sciences at the University of Rochester. I work with Robert Jacobs. My research interests lie mainly in issues at the intersection of machine learning and human learning.

Papers

Orhan, A.E., Michel, M.M. & Jacobs, R.A. (submitted) Bayesian classification images applied to visual learning on a pattern discrimination task.

Links

What we are reading in the lab:

• July 2009: A Bayesian framework for word segmentation: Exploring the effects of context, by Sharon Goldwater, Thomas L. Griffiths & Mark Johnson.


• June 2009: Optimal Learning: Computational procedures for Bayes-adaptive Markov decision processes, Micheal Duff's Ph.D. dissertation.


• March 2009: A Course in Bayesian Graphical Modeling for Cognitive Science, course notes by Michael D. Lee & Eric-Jan Wagenmakers.


• January 2009: Natural Image Statistics: a probabilistic approach to early computational vision, book by Aapo Hyvarinen, Jarmo Hurri & Patrik O. Hoyer.


• October 2008: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists, book by Scott M. Lynch.
  

Software: I support free software (free as in freedom) and so should you!: JabRef, GNU Emacs, Psychtoolbox, Python(x,y), GNU R.