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WSC
2008
15 years 7 months ago
Introducing age-based parameters into simulations of crowd dymanics
Very few crowds consist of individuals who are exactly the same. Defining variables, such as age, and how they affect an individual's movement, could increase realism in simu...
D. J. Kaup, Thomas L. Clarke, Rex Oleson, Linda C....
BMCBI
2008
171views more  BMCBI 2008»
15 years 5 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
SODA
2010
ACM
181views Algorithms» more  SODA 2010»
16 years 2 months ago
On the Cell Probe Complexity of Dynamic Membership
We study the dynamic membership problem, one of the most fundamental data structure problems, in the cell probe model with an arbitrary cell size. We consider a cell probe model e...
KE YI, QIN ZHANG
ICML
2002
IEEE
16 years 6 months ago
Univariate Polynomial Inference by Monte Carlo Message Length Approximation
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison
IPSN
2005
Springer
15 years 11 months ago
Building up to macroprogramming: an intermediate language for sensor networks
Abstract— There is widespread agreement that a higher level programming model for sensor networks is needed. A variety of models have been developed, but the community is far fro...
Ryan Newton, Arvind, Matt Welsh