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ISCI
2008
165views more  ISCI 2008»
14 years 9 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
KAIS
2011
129views more  KAIS 2011»
14 years 4 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
73
Voted
ACL
2003
14 years 11 months ago
Constructing Semantic Space Models from Parsed Corpora
Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
Sebastian Padó, Mirella Lapata
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
15 years 2 months ago
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
Pedro J. Ballester, Jonathan N. Carter
83
Voted
MICCAI
2007
Springer
15 years 10 months ago
Signal LMMSE Estimation from Multiple Samples in MRI and DT-MRI
A method to estimate the magnitude MR data from several noisy samples is presented. It is based on the Linear Minimum Mean Squared Error (LMMSE) estimator for the Rician noise mode...
Carl-Fredrik Westin, Carlos Alberola-López,...