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» Analysis of variance for fuzzy data
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MICCAI
2007
Springer
14 years 8 months ago
Sources of Variability in MEG
Abstract. This paper investigates and characterizes sources of variability in MEG signals in multi-site, multi-subject studies. Understanding these sources will help to develop eff...
Matti Hämäläinen, Polina Golland, W...
JORS
2010
189views more  JORS 2010»
13 years 2 months 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
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Analysis of four different sets of predictive features for metalloproteins
Metals bound to the protein are important for functional or structural roles. Despite their importance there is a distinct lack of research for identification of metalloproteins f...
Huseyin Seker, Parvez I. Haris
FSKD
2009
Springer
145views Fuzzy Logic» more  FSKD 2009»
14 years 2 months ago
Chinese Web Comments Clustering Analysis with a Two-phase Method
Usually a meaningful web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstrea...
Yexin Wang, Li Zhao, Yan Zhang
BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri