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» Using a neural network in the software testing process
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IJCNN
2006
IEEE
14 years 3 months ago
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
Lars Backstrom, Rich Caruana
MICAI
2010
Springer
13 years 7 months ago
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour
AGILEDC
2007
IEEE
14 years 3 months ago
Performance Testing on an Agile Project
This experience report is about a software process, designed with performance testing in mind, was used to create a mission critical integration layer. This report focuses on how ...
Jamie Dobson
ICPPW
2002
IEEE
14 years 1 months ago
SNOW: Software Systems for Process Migration in High-Performance, Heterogeneous Distributed Environments
This paper reports our experiences on the Scalable Network Of Workstation (SNOW) project, which implements a novel methodology to support user-level process migration for traditio...
Kasidit Chanchio, Xian-He Sun
ASAP
2009
IEEE
182views Hardware» more  ASAP 2009»
14 years 6 months ago
NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs
—Simulating spiking neural networks is of great interest to scientists wanting to model the functioning of the brain. However, large-scale models are expensive to simulate due to...
Andreas Fidjeland, Etienne B. Roesch, Murray Shana...