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» Learning Models of Intelligent Agents
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123
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AAAI
2011
14 years 21 days ago
Effective End-User Interaction with Machine Learning
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
101
Voted
SELMAS
2004
Springer
15 years 6 months ago
Aspectizing Multi-agent Systems: From Architecture to Implementation
Agent architectures have to cope with a number of internal properties (concerns), such as autonomy, learning, and mobility. As the agent complexity increases, these agent propertie...
Alessandro F. Garcia, Uirá Kulesza, Carlos ...
104
Voted
IAT
2010
IEEE
14 years 10 months ago
A Voting-Based Agent System for Course Selection in E-Learning
Agent technology is a good approach for solving a number of problems concerned with personalized learning. In personal learning contexts individual students are given an environme...
Ali M. Aseere, Enrico H. Gerding, David E. Millard
89
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AI
2004
Springer
15 years 17 days ago
Efficient learning equilibrium
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Ronen I. Brafman, Moshe Tennenholtz
AAAI
2000
15 years 2 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller