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» A Machine Learning Approach for Statistical Software Testing
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ICSE
2005
IEEE-ACM
15 years 10 months ago
Static analysis tools as early indicators of pre-release defect density
During software development it is helpful to obtain early estimates of the defect density of software components. Such estimates identify fault-prone areas of code requiring furth...
Nachiappan Nagappan, Thomas Ball
TMI
2010
172views more  TMI 2010»
14 years 8 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
IJCNN
2007
IEEE
15 years 4 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...
ALT
2006
Springer
15 years 6 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
ACE
2004
315views Education» more  ACE 2004»
14 years 11 months ago
Applying SPICE to e-Learning: An e-Learning Maturity Model?
The Capability Maturity Model and SPICE approach to software process improvement has resulted in a robust system for improving development process capability in the field of softw...
Stephen Marshall, Geoff Mitchell