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» Algorithms for distributed functional monitoring
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ESOP
2011
Springer
14 years 4 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
106
Voted
ICPR
2000
IEEE
16 years 1 months ago
Nanometer-Scale Height Measurements in Micromachined Picoliter Vials Based on Interference Fringe Analysis
Micromachined picoliter vials in silicon dioxide with a typical depth of 6.0?m are filled with a liquid sample. Epiilluminated microscopic imaging during evaporation of the liquid...
L. R. Van den Doel, Lucas J. van Vliet, K. T. Hjel...
ATAL
2008
Springer
15 years 2 months ago
A few good agents: multi-agent social learning
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
Jean Oh, Stephen F. Smith
103
Voted
MICCAI
2006
Springer
16 years 1 months ago
Shape-Driven 3D Segmentation Using Spherical Wavelets
Abstract. This paper presents a novel active surface segmentation algorithm using a multiscale shape representation and prior. We define a parametric model of a surface using spher...
Delphine Nain, Steven Haker, Aaron F. Bobick, Alle...
CP
2004
Springer
15 years 6 months ago
How Much Backtracking Does It Take to Color Random Graphs? Rigorous Results on Heavy Tails
Many backtracking algorithms exhibit heavy-tailed distributions, in which their running time is often much longer than their median. We analyze the behavior of two natural variant...
Haixia Jia, Cristopher Moore