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» The Accuracy of a New Confidence Interval Method
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FUZZIEEE
2007
IEEE
15 years 1 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 3 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
TON
2010
161views more  TON 2010»
14 years 4 months ago
Investigating Self-Similarity and Heavy-Tailed Distributions on a Large-Scale Experimental Facility
Abstract--After the seminal work by Taqqu et al. relating selfsimilarity to heavy-tailed distributions, a number of research articles verified that aggregated Internet traffic time...
Patrick Loiseau, Paulo Gonçalves, Guillaume...
BMCBI
2004
166views more  BMCBI 2004»
14 years 9 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
BMCBI
2011
14 years 1 months ago
Estimation of allele frequency and association mapping using next-generation sequencing data
Background: Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing...
Su Yeon Kim, Kirk E. Lohmueller, Anders Albrechtse...