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WSC
1997
13 years 5 months ago
Descriptive Sampling: An Improvement over Latin Hypercube Sampling
Descriptive Sampling (DS), a Monte Carlo sampling technique based on a deterministic selection of the input values and their random permutation, represents a deep conceptual chang...
Eduardo Saliby
FLAIRS
2000
13 years 5 months ago
Latin Hypercube Sampling in Bayesian Networks
Wepropose a schemefor producingLatin hypercube samples that can enhanceany of the existing sampling algorithms in Bayesiannetworks. Wetest this scheme in combinationwith the likel...
Jian Cheng, Marek J. Druzdzel
LAWEB
2007
IEEE
13 years 10 months ago
Geographical Characterization of YouTube: a Latin American View
Online social media applications have exploded in popularity in the Web. In most of these applications, users interact with other users and create content that becomes available o...
Fernando Duarte, Fabrício Benevenuto, Virgi...
EMO
2005
Springer
120views Optimization» more  EMO 2005»
13 years 10 months ago
Multiobjective Optimization on a Budget of 250 Evaluations
Abstract. In engineering and other ‘real-world’ applications, multiobjective optimization problems must frequently be tackled on a tight evaluation budget — tens or hundreds ...
Joshua D. Knowles, Evan J. Hughes
PAMI
2008
270views more  PAMI 2008»
13 years 4 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...