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» Model Selection and Error Estimation
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BMCBI
2010
132views more  BMCBI 2010»
15 years 4 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
ESANN
2000
15 years 5 months ago
A statistical model selection strategy applied to neural networks
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
Joaquín Pizarro Junquera, Elisa Guerrero V&...
122
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ICASSP
2011
IEEE
14 years 7 months ago
Convex relaxation approaches to maximum likelihood DOA estimation in ULA's and UCA's with unknown mutual coupling
Direction of arrival (DOA) estimation using sensor array superresolution techniques are known to suffer from array modeling errors including array element displacements, mutual co...
Kehu Yang, Shu Cai, Zhi-Quan Luo
ECCV
2004
Springer
16 years 5 months ago
The Least-Squares Error for Structure from Infinitesimal Motion
We analyze the least?squares error for structure from motion with a single infinitesimal motion ("structure from optical flow"). We present asymptotic approximations to ...
John Oliensis
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 8 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...