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» Learning User Preferences in Distributed Calendar Scheduling
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UAI
2004
13 years 8 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
AGENTS
1999
Springer
13 years 11 months ago
A Personal News Agent That Talks, Learns and Explains
Most work on intelligent information agents has thus far focused on systems that are accessible through the World Wide Web. As demanding schedules prohibit people from continuous ...
Daniel Billsus, Michael J. Pazzani
ICMI
2004
Springer
189views Biometrics» more  ICMI 2004»
14 years 25 days ago
A multimodal learning interface for sketch, speak and point creation of a schedule chart
We present a video demonstration of an agent-based test bed application for ongoing research into multi-user, multimodal, computer-assisted meetings. The system tracks a two perso...
Edward C. Kaiser, David Demirdjian, Alexander Grue...
IPPS
2007
IEEE
14 years 1 months ago
Prediction Services for Distributed Computing
Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...
Warren Smith
CCGRID
2008
IEEE
14 years 1 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...