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» Algorithms for distributed functional monitoring
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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 5 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
CORR
2012
Springer
222views Education» more  CORR 2012»
14 years 2 months ago
A limit process for partial match queries in random quadtrees
We consider the problem of recovering items matching a partially specified pattern in multidimensional trees (quad trees and k-d trees). We assume the classical model where the d...
Nicolas Broutin, Ralph Neininger, Henning Sulzbach
BMCBI
2005
154views more  BMCBI 2005»
15 years 6 months ago
GObar: A Gene Ontology based analysis and visualization tool for gene sets
Background: Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such ...
Jason S. M. Lee, Gurpreet Katari, Ravi Sachidanand...
RTAS
2005
IEEE
16 years 5 days ago
Optimal Time-Variant Resource Allocation for Internet Servers with Delay
The increasing popularity of high-volume performancecritical Internet applications calls for a scalable server design that allows meeting individual response-time guarantees. Cons...
Xiliang Zhong, Cheng-Zhong Xu, Minghua Xu, Jianbin...
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
15 years 11 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie