Readings

**__Fall 2012 Meetings__**
Read and/or watch any of the following: - Bengio and LeCun, //Scaling Learning Algorithms Towards AI//, - Tom Griffith's Bayesian reading list - Tenenbaum et al.'s //How to Grow a Mind: Statistics, Structure, and Abstraction// - MIT CogNet: Computational Intelligence - "Artificial Intelligence" definition by the internet encyclopedia of philosophy - MIT CogNet: Computational Intelligence - Henry Markham, director of the Blue Brain supercomputing project, gives a TED talk - Jeff Hawkins TED talk about how brain science will change computing
 * Monday November 19, 2012 (5pm BA5256):**

//A Fast Learning Algorithm for Deep Belief Nets// //Learning Multiple Layers of Representation// //On Contrastive Divergence Learning//
 * Monday October 29, 2012 : **

Read and/or watch the following: // [|From Neural Networks to Deep Learning: Zeroing in on the Human Brain] // //The Next Generation of Neural Networks//
 * Monday October 16, 2012 : **

**__Past Meetings__**
(from Adam Golding) For reading, people could read sections of interest from: @http://www.morganclaypool.com/doi/abs/10.2200/S00372ED1V01Y201107AIM014?journalCode=aim With some emphasis on the more discrete/symbolic stuff in there. Or if they want to ‘go interdisciplinary’ they could choose among the readings from this Seance: @http://www.facebook.com/event.php?eid=177720232316976
 * November 14, 2011: **

Optional supplementary reading material: A Case for Simple SAT Solvers. Jinbo Huang. CP’07. http://users.cecs.anu.edu.au/~jinbo/07-cp.pdf “It is a short paper, and gives an overview which I’d consider more modern (though some people might not agree). It also cites a lot of classic papers in the field.” (Alexandra G)
 * October 31, 2011:**

[|LigAlign: Flexible ligand-based active site alignment and analysis]by Abraham Heifets and Ryan H.Lilien
 * March 1, 2011:**


 * February 22, 2011:** Reading week, ironically :)

Choose a paper from the special issue in [|Trends in Cognitive Sciences], particularly something written by Joshua B. Tenenbaum If you’re feeling lazy and just want to be given a paper to read, then at least read this: [|Probabilistic models of cognition: Conceptual foundations]. Chater, N., Tenenbaum, J. B., and Yuille, A. If you’re feeling more adventurous, choose a paper that catches your interest from [|Josh Tenenbaum’s home page].
 * February 15, 2011:**

All group members read an article of their choosing from one of: [|http://cognet.mit.edu.myaccess.library.utoronto.ca] @http://www.megaupload.com/?d=6M4FLMQ1
 * February 8, 2011:**

[|“Recognition-by-Components: A Theory of Human Image Understanding”] by Irving Biederman - a classical work — good preparation for Pablo’s talk
 * February 2, 2011:**

[|“Near Duplicate Image Detection min-Hash and tf-idf Weighting”] by O. Chum, J. Philbin, A. Zisserman - also available in the Readings section of UAIG’s drop-box
 * January 25, 2011:**

[|“A Survey of Modern Authorship Attribution Method”] by Efstathios Stamatatos
 * January 18, 2011:**

“[|What Computational Linguists Can Learn from Psychologists (and Vice Versa)]” by Emiel Krahmer “[|What Science Underlies Natural Language Engineering?]” by ShulyWintner
 * January 11, 2011:**


 * December:** Break: read what you like.

“Object recognition from local scale-invariant features” by David Lowe [|“The Evolution of Object Categorization and the Challenge of Image Abstraction”] by Sven Dickinson
 * November 29, 2010:**

“How Close Are We to Understanding V1?” by Olshausen and Field
 * November 22, 2010:**

Introduction to Machine Learning, Second Edition by Ethem Alpaydın - Book excerpt: pages 41-56
 * November 1, 2010:**

“Artificial Intelligence: a Modern Approach” by Norvig+Russell
 * Ongoing recommended reading:**

“A cognitive neuroscience perspective on embodied language for human-robot cooperation.” by by Carol Madden, Michel Hoen, Peter Ford Dominey
 * Other suggested Readings** (suggested by group members)**:**