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EDM
2009
116views Data Mining» more  EDM 2009»
13 years 5 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
CVPR
2004
IEEE
14 years 9 months ago
Bayesian Assembly of 3D Axially Symmetric Shapes from Fragments
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
Andrew R. Willis, David B. Cooper
GANDC
2011
93views more  GANDC 2011»
12 years 7 months ago
Bayesian spatial modeling and interpolation using copulas
Copulas have attracted much attention in spatial statistics over the past few years. They are used as a flexible alternative to traditional methods for nonGaussian spatial modelin...
Hannes Kazianka, Jürgen Pilz
PSD
2004
Springer
126views Database» more  PSD 2004»
14 years 1 months ago
Outlier Protection in Continuous Microdata Masking
Abstract. Masking methods protect data sets against disclosure by perturbing the original values before publication. Masking causes some information loss (masked data are not exact...
Josep Maria Mateo-Sanz, Francesc Sebé, Jose...
BMCBI
2010
216views more  BMCBI 2010»
13 years 2 months ago
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...