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VLDB
2009
ACM
182views Database» more  VLDB 2009»
14 years 4 months ago
Guessing the extreme values in a data set: a Bayesian method and its applications
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
Mingxi Wu, Chris Jermaine
VLDB
2007
ACM
139views Database» more  VLDB 2007»
13 years 10 months ago
A Bayesian Method for Guessing the Extreme Values in a Data Set
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
Mingxi Wu, Chris Jermaine
ICPR
2008
IEEE
13 years 11 months ago
On-line novelty detection using the Kalman filter and extreme value theory
Novelty detection is concerned with identifying abnormal system behaviours and abrupt changes from one regime to another. This paper proposes an on-line (causal) novelty detection...
Hyoungjoo Lee, Stephen J. Roberts
AIED
2009
Springer
13 years 11 months ago
Detecting the Learning Value of Items In a Randomized Problem Set
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...
Zachary A. Pardos, Neil T. Heffernan
ISBI
2002
IEEE
13 years 9 months ago
A shape reconstruction method for diffuse optical tomography using a transport model and level sets
A two-step shape reconstruction method for diffuse optical tomography (DOT) is presented which uses adjoint fields and level sets. The propagation of near-infrared photons in tis...
O. Dorn