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» Asymptotic analysis of finite difference methods
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NIPS
2008
14 years 11 months ago
Particle Filter-based Policy Gradient in POMDPs
Our setting is a Partially Observable Markov Decision Process with continuous state, observation and action spaces. Decisions are based on a Particle Filter for estimating the bel...
Pierre-Arnaud Coquelin, Romain Deguest, Rém...
SIGMOD
2007
ACM
165views Database» more  SIGMOD 2007»
15 years 9 months ago
Statistical analysis of sketch estimators
Sketching techniques can provide approximate answers to aggregate queries either for data-streaming or distributed computation. Small space summaries that have linearity propertie...
Florin Rusu, Alin Dobra
BMCBI
2008
134views more  BMCBI 2008»
14 years 9 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
JAL
2002
113views more  JAL 2002»
14 years 9 months ago
A multivariate view of random bucket digital search trees
We take a multivariate view of digital search trees by studying the number of nodes of different types that may coexist in a bucket digital search tree as it grows under an arbitr...
Friedrich Hubalek, Hsien-Kuei Hwang, William Lew, ...
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
15 years 10 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais