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HPDC
2008
IEEE
15 years 7 months ago
Eliminating the middleman: peer-to-peer dataflow
Efficiently executing large-scale, data-intensive workflows such as Montage must take into account the volume and pattern of communication. When orchestrating data-centric workflo...
Adam Barker, Jon B. Weissman, Jano I. van Hemert
BMCBI
2008
123views more  BMCBI 2008»
15 years 7 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
CORR
2010
Springer
198views Education» more  CORR 2010»
15 years 7 months ago
Space and the Synchronic A-Ram
Space is a spatial programming language designed to exploit the massive parallelism available in a formal model of computation called the Synchronic A-Ram, and physically related ...
Alexander Victor Berka
ECOI
2010
117views more  ECOI 2010»
15 years 7 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
ACTAC
2006
126views more  ACTAC 2006»
15 years 7 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
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