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CSDA
2008
117views more  CSDA 2008»
15 years 6 months ago
Parametric and nonparametric Bayesian model specification: A case study involving models for count data
In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data, of the t...
Milovan Krnjajic, Athanasios Kottas, David Draper
JACM
2010
135views more  JACM 2010»
15 years 4 months ago
A dynamic data structure for 3-D convex hulls and 2-D nearest neighbor queries
We present a fully dynamic randomized data structure that can answer queries about the convex hull of a set of n points in three dimensions, where insertions take O(log3 n) expect...
Timothy M. Chan
ICASSP
2009
IEEE
16 years 1 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
IEEEARES
2007
IEEE
16 years 23 days ago
Reliability Markov Chains for Security Data Transmitter Analysis
Security communication systems composed of highly reliable components may have few if any failures while undergoing heavy testing or field-usage. This paper combines (i) analysis ...
Calin Ciufudean, Bianca Satco, Constantin Filote
ACL
2009
15 years 4 months ago
Efficient Inference of CRFs for Large-Scale Natural Language Data
This paper presents an efficient inference algorithm of conditional random fields (CRFs) for large-scale data. Our key idea is to decompose the output label state into an active s...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee