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105
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CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Sequential Classification for Microarray and Clinical Data
Sequential classification uses in a stepwise process only part of the data (evidence) for partial classification, i.e., classifying only objects with sufficient evidence and leavi...
Günter Tusch
PR
2010
147views more  PR 2010»
14 years 11 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
76
Voted
CLEF
2010
Springer
15 years 1 months ago
Patent Classification Experiments with the Linguistic Classification System LCS
In the context of the CLEF-IP 2010 classification task, we conducted a series of experiments with the Linguistic Classification System (LCS). We compared ment representations for p...
Suzan Verberne, Merijn Vogel, Eva D'hondt
111
Voted
BMCBI
2011
14 years 7 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
136
Voted
CANDC
2005
ACM
15 years 14 days ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...