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BMCBI
2004
158views more  BMCBI 2004»
15 years 4 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
BMCBI
2004
123views more  BMCBI 2004»
15 years 4 months ago
A two-way interface between limited Systems Biology Markup Language and R
Background: Systems Biology Markup Language (SBML) is gaining broad usage as a standard for representing dynamical systems as data structures. The open source statistical programm...
Tomas Radivoyevitch
IDA
1998
Springer
15 years 4 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
JMLR
2002
111views more  JMLR 2002»
15 years 4 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
DAM
1999
114views more  DAM 1999»
15 years 4 months ago
Perfect and Almost Perfect Sequences
The autocorrelation function of a sequence is a measure for how much the given sequence di ers from its translates. Periodic binary sequences with good correlation properties have...
Dieter Jungnickel, Alexander Pott
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