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Jin Tian Associate Professor Office: 108 |
Research
Artificial intelligence and machine learning: graphical models, Bayesian networks, probabilistic reasoning, causal inference.
Teaching
Spring 2012 ComS 573: Machine Learning
Fall 2011 ComS 472 Principles of Artificial Intelligence
Fall 2011 ComS 572 Principles of Artificial Intelligence
Com S 672 Advanced Topics in Computational Models of Learning
Com S 363: Introduction to Database Systems
Com S 673 -- Probabilistic and Causal Reasoning with Bayesian Networks
Com S 474 -- Elements of Neural Computation
Grant
CAREER: Reasoning with Cause and Effect: Model Testing, Axiomatization, and Identification. National Science Foundation (2004-2009). $455,452.