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ICANN
2010
Springer
15 years 11 days 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...
149
Voted
ENTCS
2010
101views more  ENTCS 2010»
14 years 11 months ago
Strengthening the Zipper
The zipper is a well known design pattern for providing a cursor-like interface to a data structure. However, the classic treatise by Huet only scratches the surface of some of it...
Tristan O. R. Allwood, Susan Eisenbach
SERA
2007
Springer
15 years 8 months ago
Comparative Analysis of Neural Network Techniques Vs Statistical Methods in Capacity Planning
Capacity planning is a technique which can be used to predict the computing resource needs of an organization for the future after studying current usage patterns. This is of spec...
Nalini Vasudevan, Gowri C. Parthasarathy
SIGSOFT
2005
ACM
16 years 3 months ago
Facilitating software evolution research with kenyon
Software evolution research inherently has several resourceintensive logistical constraints. Archived project artifacts, such as those found in source code repositories and bug tr...
Jennifer Bevan, E. James Whitehead Jr., Sunghun Ki...
ATAL
2003
Springer
15 years 7 months ago
Customizing AOSE methodologies by reusing AOSE features
Future large-scale software development projects will require engineering support for a diverse range of software quality attributes, such as privacy and openness. It is not feasi...
Thomas Juan, Leon Sterling, Maurizio Martelli, Viv...