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 11:15BREAK 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 RecognitionOverview of Current State and Research Challenges�����������

 

4:50 5:00 ���DISCUSSION

 

Sunday, March 15

9:00 - 12:00�� GENERAL DISCUSSION

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