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» Evolutionary testing of classes
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EMNLP
2009
15 years 1 months ago
Multi-Class Confidence Weighted Algorithms
The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
Koby Crammer, Mark Dredze, Alex Kulesza
120
Voted
TAICPART
2006
IEEE
144views Education» more  TAICPART 2006»
15 years 9 months ago
Testing the Implementation of Business Rules Using Intensional Database Tests
One of the key roles of any information system is to enforce the business rules and policies set by the owning organisation. As for any important functionality, it is necessary to...
David Willmor, Suzanne M. Embury
ISESE
2005
IEEE
15 years 9 months ago
System test case prioritization of new and regression test cases
Test case prioritization techniques have been shown to be beneficial for improving regression-testing activities. With prioritization, the rate of fault detection is improved, thu...
Hema Srikanth, Laurie Williams, Jason Osborne
118
Voted
DATE
2008
IEEE
104views Hardware» more  DATE 2008»
15 years 10 months ago
Multi-Vector Tests: A Path to Perfect Error-Rate Testing
The importance of testing approaches that exploit error tolerance to improve yield has previously been established. Error rate, defined as the percentage of vectors for which the...
Shideh Shahidi, Sandeep Gupta
129
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CEC
2007
IEEE
15 years 9 months ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier