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AAAI
2008
13 years 9 months ago
Interaction Structure and Dimensionality Reduction in Decentralized MDPs
Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
Martin Allen, Marek Petrik, Shlomo Zilberstein
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
JMLR
2006
145views more  JMLR 2006»
13 years 7 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
IPPS
1998
IEEE
13 years 11 months ago
Processor Lower Bound Formulas for Array Computations and Parametric Diophantine Systems
Using a directed acyclic graph (dag) model of algorithms, we solve a problem related to precedenceconstrained multiprocessor schedules for array computations: Given a sequence of ...
Peter R. Cappello, Ömer Egecioglu
COR
2010
177views more  COR 2010»
13 years 7 months ago
Hybridization of very large neighborhood search for ready-mixed concrete delivery problems
Companies in the concrete industry are facing the following scheduling problem on a daily basis: concrete produced at several plants has to be delivered at customers' constru...
Verena Schmid, Karl F. Doerner, Richard F. Hartl, ...