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BMCBI
2005
131views more  BMCBI 2005»
13 years 8 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
TVLSI
2008
149views more  TVLSI 2008»
13 years 8 months ago
Architectural Modifications to Enhance the Floating-Point Performance of FPGAs
With the density of FPGAs steadily increasing, FPGAs have reached the point where they are capable of implementing complex floating-point applications. However, their general-purpo...
Michael J. Beauchamp, Scott Hauck, Keith D. Underw...
BMCBI
2002
214views more  BMCBI 2002»
13 years 8 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
IDA
2002
Springer
13 years 8 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
ECCC
1998
105views more  ECCC 1998»
13 years 8 months ago
Pseudorandom generators without the XOR Lemma
Impagliazzo and Wigderson IW97] have recently shown that if there exists a decision problem solvable in time 2O(n) and having circuit complexity 2 (n) (for all but nitely many n) ...
Madhu Sudan, Luca Trevisan, Salil P. Vadhan
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