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» An fMRI Activation Method Using Complex Data
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BMCBI
2011
14 years 3 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
BMCBI
2008
160views more  BMCBI 2008»
14 years 12 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
BMCBI
2004
167views more  BMCBI 2004»
14 years 11 months ago
Feature selection for splice site prediction: A new method using EDA-based feature ranking
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...
INTERSPEECH
2010
14 years 6 months ago
FSM-based pronunciation modeling using articulatory phonological code
According to articulatory phonology, the gestural score is an invariant speech representation. Though the timing schemes, i.e., the onsets and offsets, of the gestural activations...
Chi Hu, Xiaodan Zhuang, Mark Hasegawa-Johnson
IRI
2008
IEEE
15 years 6 months ago
Exercise energy expenditure estimation based on acceleration data using the linear mixed model
This paper introduces a novel algorithm for estimating energy expenditure during physical activity. The estimation is based on acceleration data measured from a wrist-worn acceler...
Eija Haapalainen, Perttu Laurinen, Pekka Siirtola,...