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» Data Modelling in Complex Application Domains
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HPDC
2010
IEEE
15 years 5 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
OSDI
2008
ACM
15 years 6 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
15 years 10 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
SEMWEB
2005
Springer
15 years 9 months ago
On the Properties of Metamodeling in OWL
A common practice in conceptual modeling is to separate the conceptual from the data model. Although very intuitive, this approach is inadequate for many complex domains, in which...
Boris Motik
CVPR
2006
IEEE
16 years 6 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...