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BMCBI
2007
129views more  BMCBI 2007»
13 years 7 months ago
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
Carson M. Andorf, Drena Dobbs, Vasant Honavar
BMCBI
2010
140views more  BMCBI 2010»
13 years 5 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
12 years 11 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
ECAI
2004
Springer
14 years 1 months ago
Automatic Recognition of Famous Artists by Machine
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...
Gerhard Widmer, Patrick Zanon
CNIS
2006
13 years 9 months ago
Design of a virtual computer security lab
We present the design and a prototype of a lab course on computer security, the necessity of which arises from the students' need to complement course work by hands-on experi...
Jörg Keller, Ralf Naues