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» Automatic feature selection in neuroevolution
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AOSD
2010
ACM
15 years 6 months ago
Tracking code patterns over multiple software versions with Herodotos
An important element of understanding a software code base is to identify the repetitive patterns of code it contains and how these evolve over time. Some patterns are useful to t...
Nicolas Palix, Julia L. Lawall, Gilles Muller
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
15 years 6 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
IPPS
2009
IEEE
15 years 6 months ago
Annotation-based empirical performance tuning using Orio
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
Albert Hartono, Boyana Norris, Ponnuswamy Sadayapp...
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SECON
2008
IEEE
15 years 6 months ago
SYNAPSE: A Network Reprogramming Protocol for Wireless Sensor Networks Using Fountain Codes
—Wireless reprogramming is a key functionality in Wireless Sensor Networks (WSNs). In fact, the requirements for the network may change in time, or new parameters might have to b...
Michele Rossi, Giovanni Zanca, Luca Stabellini, Ri...
IJCNN
2007
IEEE
15 years 6 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...