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NIPS
2003
15 years 8 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
JACM
2010
208views more  JACM 2010»
15 years 5 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
MA
2010
Springer
147views Communications» more  MA 2010»
15 years 5 months ago
On asymptotic normality of sequential LS-estimate for unstable autoregressive process AR(2)
For estimating parameters in an unstable AR(2) model, the paper proposes a sequential least squares estimate with a special stopping time defined by the trace of the observed Fis...
Leonid Galtchouk, Victor Konev
ICPADS
2005
IEEE
16 years 8 days ago
A Pure Lazy Technique for Scalable Transaction Processing in Replicated Databases
Recently, there have been proposals for scaling-up a database system using lazy replication. In these proposals, system scale-up is achieved through the addition of secondary site...
Khuzaima Daudjee, Kenneth Salem
CIKM
2005
Springer
16 years 6 days ago
Localized routing trees for query processing in sensor networks
In this paper, we propose a novel energy-efficient approach, a localized routing tree (LRT) coupled with a route redirection (RR) strategy, to support various types of queries. LR...
Jie Lian, Lei Chen 0002, Kshirasagar Naik, M. Tame...