A G E N D A

INSTITUTE FOR MATHEMATICAL BEHAVIORAL SCIENCES
CONFERENCE ON HUMAN AND MACHINE LEARNING

March 13-15, 2009

LOCATION: SOCIAL SCIENCE PLAZA A, ROOM 2112

Friday, March 13

1:30 – 1:40 Opening Remarks by DONALD SAARI, Director of IMBS

1:40 – 2:40 WILLIAM H. BATCHELDER, Cognitive Sciences, UC Irvine

"Learning Theory: History, Formalisms, and Perennial Issues"

2:40 – 2:50 DISCUSSION

2:50 – 3:05 BREAK in SSPA 2142

3:05 – 3:55 MICHAEL JORDAN, EECS & Statistics, UC Berkeley

“Combinatorial Stochastic Processes and Nonparametric Bayesian Modeling”

3:55 – 4:05 DISCUSSION

Saturday, March 14

9:00 – 9:50 Michael Littman, Computer Science, Rutgers

“Initial explorations of cognitive reinforcement learning”

9:50 – 10:00 DISCUSSION

10:00 – 10:50 TOM GRIFFITHS, Psychology, UC Berkeley

“Connecting human and machine learning via probabilistic models of cognition”

10:50 – 11:00 DISCUSSION

11:00 – 11:15 BREAK IN SSPA 2142

11:15 – 12:05 TONY JEBARA, Computer Science, Columbia

“Learning Networks of Places and People from Location Data”

12:05 – 12:15 DISCUSSION

12:15 – 1:45 BREAK FOR LUNCH

1:45 – 2:35 DeLIANG WANG, Computer Science & Engineering, and Cognitive Science, Ohio State University

“Cocktail Party Processing”

2:35 – 2:45 DISCUSSION

2:45 – 3:35 JEAN CLAUDE FALMAGNE, Cognitive Sciences, UC Irvine

“Learning Spaces--Concepts, Results, Applications”

3:35 – 3:45 DISCUSSION

3:45 – 4:00 BREAK in SSPA 2142

4:00 – 4:50    LI DENG, Speech Research Group, Microsoft

“Acoustic Modeling in Automatic Speech Recognition Overview of Current State and Research Challenges”

4:50 – 5:00 DISCUSSION

Sunday, March 15

9:00 - 12:00 GENERAL DISCUSSION