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110
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ATAL
2009
Springer
15 years 8 months ago
Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Bra...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 6 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
EMSOFT
2008
Springer
15 years 3 months ago
Tax-and-spend: democratic scheduling for real-time garbage collection
Real-time Garbage Collection (RTGC) has recently advanced to the point where it is being used in production for financial trading, military command-and-control, and telecommunicat...
Joshua S. Auerbach, David F. Bacon, Perry Cheng, D...
144
Voted
ICML
2007
IEEE
16 years 2 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
CIKM
2005
Springer
15 years 7 months ago
Internet scale string attribute publish/subscribe data networks
With this work we aim to make a three-fold contribution. We first address the issue of supporting efficiently queries over string-attributes involving prefix, suffix, containmen...
Ioannis Aekaterinidis, Peter Triantafillou