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» Sublinear Time Algorithms for Metric Space Problems
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NIPS
2003
15 years 5 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
SSDBM
2009
IEEE
149views Database» more  SSDBM 2009»
15 years 11 months ago
Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods
Abstract. We propose an original solution for the general reverse k-nearest neighbor (RkNN) search problem in Euclidean spaces. Compared to the limitations of existing methods for ...
Hans-Peter Kriegel, Peer Kröger, Matthias Ren...
MASS
2010
15 years 2 months ago
You can't get there from here: Sensor scheduling with refocusing delays
We study a problem in which a single sensor is scheduled to observe sites periodically, motivated by applications in which the goal is to maintain up-to-date readings for all the o...
Yosef Alayev, Amotz Bar-Noy, Matthew P. Johnson, L...
ICPP
2000
IEEE
15 years 8 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
ISQED
2005
IEEE
81views Hardware» more  ISQED 2005»
15 years 10 months ago
Exact Algorithms for Coupling Capacitance Minimization by Adding One Metal Layer
Due to the rapid development of manufacturing process technology and tight marketing schedule, the chip design and manufacturing always work toward an integrated solution to achie...
Hua Xiang, Kai-Yuan Chao, Martin D. F. Wong