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QSIC
2008
IEEE
16 years 25 days ago
Using Machine Learning to Refine Black-Box Test Specifications and Test Suites
In the context of open source development or software evolution, developers are often faced with test suites which have been developed with no apparent rationale and which may nee...
Lionel C. Briand, Yvan Labiche, Zaheer Bawar
ACSAC
1999
IEEE
15 years 10 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
ESANN
2007
15 years 7 months ago
Kernel-based online machine learning and support vector reduction
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
NAACL
2007
15 years 7 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
ACL
2001
15 years 7 months ago
Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems
This paper presents a method that assists in maintaining a rule-based named-entity recognition and classification system. The underlying idea is to use a separate system, construc...
Georgios Petasis, Frantz Vichot, Francis Wolinski,...