Title: Sequential Decision Making Algorithms in Filtering
Speaker: Michael L. Littman, Rutgers University
Date: December 22, 2003 2:00pm
Location: DIMACS Center, CoRE Bldg, Room 433, Rutgers University, Busch Campus, Piscataway, NJ
We have been exploring the possibility of applying algorithms from machine learning and sequential decision making to text filtering. This is preliminary work and we welcome feedback from the the "monitoring message stream" community. To that end, I will provide background on the Markov decision process (MDP) and partially observable MDP models and will describe our current efforts in using these models for filtering. Our motivation is to automatically make filtering decisions that trade off exploration and exploitation.
This is joint work with Peng Song, David Madigan, and Paul Kantor
See Webpage: http://www.stat.rutgers.edu/~madigan/mms/fall03.html