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» Extraction of Symbolic Rules from Artificial Neural Networks
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BMCBI
2005
85views more  BMCBI 2005»
13 years 4 months ago
Prediction of twin-arginine signal peptides
Background: Proteins carrying twin-arginine (Tat) signal peptides are exported into the periplasmic compartment or extracellular environment independently of the classical Secdepe...
Jannick Dyrløv Bendtsen, Henrik Nielsen, Da...
CLUSTER
2007
IEEE
13 years 8 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
IWANN
2009
Springer
13 years 11 months ago
Identifying Gene Ontology Areas for Automated Enrichment
Biomedical ontologies provide a commonly accepted scheme for the characterization of biological concepts that enable knowledge sharing and integration. Updating and maintaining an ...
Catia Pesquita, Tiago Grego, Francisco M. Couto
CLEF
2010
Springer
13 years 5 months ago
Combination of Classifiers for Indoor Room Recognition CGS participation at ImageCLEF2010 Robot Vision Task
This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCL...
Walter Lucetti, Emanuel Luchetti
BMCBI
2010
106views more  BMCBI 2010»
13 years 4 months ago
Predicting MHC class I epitopes in large datasets
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
Kirsten Roomp, Iris Antes, Thomas Lengauer