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» Computing LTS Regression for Large Data Sets
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TIT
2010
118views Education» more  TIT 2010»
13 years 4 months ago
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...
SPIESR
1998
151views Database» more  SPIESR 1998»
13 years 10 months ago
Synthesizing Parallel Imaging Applications Using the CAP Computer-Aided Parallelization Tool
Abstract. Imaging applications such as filtering, image transforms and compression/decompression require vast amounts of computing power when applied to large data sets. These appl...
Benoit A. Gennart, Marc Mazzariol, Vincent Messerl...
TIT
2011
134views more  TIT 2011»
13 years 4 months ago
Estimating Heavy-Tail Exponents Through Max Self-Similarity
: In this paper, a novel approach to the problem of estimating the heavy–tail exponent α > 0 of a distribution is proposed. It is based on the fact that block–maxima of siz...
Stilian Stoev, George Michailidis, Murad S. Taqqu
AIIA
2005
Springer
14 years 2 months ago
Towards Fault-Tolerant Formal Concept Analysis
Given Boolean data sets which record properties of objects, Formal Concept Analysis is a well-known approach for knowledge discovery. Recent application domains, e.g., for very lar...
Ruggero G. Pensa, Jean-François Boulicaut
SAC
2008
ACM
13 years 8 months ago
Collaborative software engineering on large-scale models: requirements and experience in ModelBus
This work presents an approach for realizing Model-Driven software engineering in the distributed and multi-developers context. It particularly focuses on the scalability problems...
Prawee Sriplakich, Xavier Blanc, Marie-Pierre Gerv...