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159
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QSIC
2008
IEEE
16 years 16 days ago
2008
IEEE
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...
161
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ESANN
2007
15 years 7 months ago
2007
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...
157
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NAACL
2007
15 years 7 months ago
2007
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...
165
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ACL
2001
15 years 7 months ago
2001
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...
168
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TRS
2008
15 years 6 months ago
2008
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...