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IC
2003
14 years 11 months ago
Sampling Internet Topologies: How Small Can We Go?
Abstract— In this paper, we develop methods to “sample” a large real network into a small realistic graph. Although topology modeling has received a lot attention lately, it ...
Vaishnavi Krishnamurthy, Junhong Sun, Michalis Fal...
IJCAI
1997
14 years 11 months ago
A Study of Causal Discovery With Weak Links and Small Samples
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xind...
PPSN
2010
Springer
14 years 8 months ago
Mirrored Sampling and Sequential Selection for Evolution Strategies
This paper reveals the surprising result that a single-parent non-elitist evolution strategy (ES) can be locally faster than the (1+1)-ES. The result is brought about by mirrored s...
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk ...
VIS
2008
IEEE
176views Visualization» more  VIS 2008»
15 years 11 months ago
Particle-based Sampling and Meshing of Surfaces in Multimaterial Volumes
Abstract-- Methods that faithfully and robustly capture the geometry of complex material interfaces in labeled volume data are important for generating realistic and accurate visua...
Miriah Meyer, Ross Whitaker, Robert M. Kirby, C...
SIGGRAPH
1995
ACM
15 years 1 months ago
Optimally combining sampling techniques for Monte Carlo rendering
Monte Carlo integration is a powerful technique for the evaluation of difficult integrals. Applications in rendering include distribution ray tracing, Monte Carlo path tracing, a...
Eric Veach, Leonidas J. Guibas