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IPPS
2010
IEEE
14 years 9 months ago
Parallel I/O performance: From events to ensembles
Parallel I/O is fast becoming a bottleneck to the research agendas of many users of extreme scale parallel computers. The principle cause of this is the concurrency explosion of hi...
Andrew Uselton, Mark Howison, Nicholas J. Wright, ...
ICASSP
2011
IEEE
14 years 3 months ago
Modeling musical attributes to characterize ensemble recordings using rhythmic audio features
In this paper, we present the results of a pre-study on music performance analysis of ensemble music. Our aim is to implement a music classification system for the description of...
Jakob Abesser, Olivier Lartillot, Christian Dittma...
ICANN
2010
Springer
14 years 9 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
104
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NCA
2007
IEEE
14 years 11 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
99
Voted
NN
2008
Springer
146views Neural Networks» more  NN 2008»
14 years 11 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir