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ATAL
2010
Springer
13 years 10 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
ICPP
2008
IEEE
14 years 4 months ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
ILP
2004
Springer
14 years 3 months ago
Macro-Operators Revisited in Inductive Logic Programming
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
Érick Alphonse
CVPR
2005
IEEE
14 years 11 months ago
Modeling Dynamic Scenes with Active Appearance
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
Gianfranco Doretto
ICML
2007
IEEE
14 years 10 months ago
Best of both: a hybridized centroid-medoid clustering heuristic
Although each iteration of the popular kMeans clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to ...
Nizar Grira, Michael E. Houle