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» Modeling and Predicting Learning Behavior in MOOCs
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ACMICEC
2006
ACM
157views ECommerce» more  ACMICEC 2006»
15 years 4 months ago
Adaptive mechanism design: a metalearning approach
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
David Pardoe, Peter Stone, Maytal Saar-Tsechansky,...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
15 years 10 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
JAISE
2011
238views more  JAISE 2011»
14 years 4 months ago
A bio-inspired system model for interactive surveillance applications
Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
IJMMS
2007
116views more  IJMMS 2007»
14 years 10 months ago
Modeling and evaluating empathy in embodied companion agents
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Scott W. McQuiggan, James C. Lester
AAMAS
2005
Springer
14 years 10 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger