|
Jin Tian Assistant Professor Office: 108 |
Research
Artificial intelligence and machine learning: graphical models, Bayesian networks, probabilistic reasoning, causal inference.
Current Grant
CAREER: Reasoning with Cause and Effect: Model Testing, Axiomatization, and Identification. National Science Foundation (2004-2009). $455,452.
Teaching
Spring 2010 Com S 672 Advanced Topics in Computational Models of Learning
Spring 2008, 2009 ComS 573: Machine Learning
Fall 2007, 2008, 2009 ComS 472 Principles of Artificial Intelligence
Spring 2006,2007 Com S 363: Introduction to Database Systems
Spring 2003,2005,2007 Com S 673 -- Probabilistic and Causal Reasoning with Bayesian Networks
Spring 2004 Com S 672 -- COMPUTATIONAL MODELS OF LEARNING
Fall 2003, 2004, 2006 Com S 474 -- Elements of Neural Computation
Conferences