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» Geometrically Proper Models in Statistical Training
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IWCMC
2010
ACM
13 years 7 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
KDD
2001
ACM
211views Data Mining» more  KDD 2001»
14 years 5 months ago
Magical thinking in data mining: lessons from CoIL challenge 2000
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...
Charles Elkan
BMCBI
2010
150views more  BMCBI 2010»
13 years 5 months ago
DeltaProt: a software toolbox for comparative genomics
Background: Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding o...
Steinar Thorvaldsen, Tor Flå, Nils Willassen
JORS
2010
189views more  JORS 2010»
13 years 4 days ago
Monte Carlo scenario generation for retail loan portfolios
Monte Carlo simulation is a common method for studying the volatility of market traded instruments. It is less employed in retail lending, because of the inherent nonlinearities in...
J. L. Breeden, D. Ingram
CVPR
2012
IEEE
11 years 7 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman