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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 8 months ago
Phase transition in a random NK landscape model
An analysis for the phase transition in a random NK landscape model is given. For the fixed ratio model, NK(n, k, z), Gao and Culberson [17] showed that a random instance generat...
Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
DMSN
2004
ACM
15 years 8 months ago
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
Boulat A. Bash, John W. Byers, Jeffrey Considine
3DOR
2008
15 years 5 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
NIPS
2007
15 years 4 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
ENTCS
2008
95views more  ENTCS 2008»
15 years 3 months ago
Coverage-biased Random Exploration of Models
This paper describes a set of methods for randomly drawing traces in large models either uniformly among all traces, or with a coverage criterion as target. Classical random walk ...
Marie-Claude Gaudel, Alain Denise, Sandrine-Domini...