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AAAI
2006
15 years 7 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 8 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 8 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
SIGIR
2009
ACM
16 years 19 days ago
It pays to be picky: an evaluation of thread retrieval in online forums
Online forums host a rich information exchange, often with contributions from many subject matter experts. In this work we evaluate algorithms for thread retrieval in a large and ...
Jonathan L. Elsas, Jaime G. Carbonell
UM
2007
Springer
16 years 7 days ago
Eliciting Adaptation Knowledge from On-Line Tutors to Increase Motivation
In the classroom, teachers know how to motivate their students and how to exploit this knowledge to adapt or optimize their instruction when a student shows signs of demotivation. ...
Teresa Hurley, Stephan Weibelzahl