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» Testing the significance of attribute interactions
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ICANN
2011
Springer
12 years 9 months ago
Bias of Importance Measures for Multi-valued Attributes and Solutions
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
Houtao Deng, George C. Runger, Eugene Tuv
METRICS
2002
IEEE
13 years 11 months ago
Testability Analysis of a UML Class Diagram
Design-for-testability is a very important issue in software engineering. It becomes crucial in the case of OO designs where control flows are generally not hierarchical, but are d...
Benoit Baudry, Yves Le Traon, Gerson Sunyé
HAPTICS
2005
IEEE
13 years 12 months ago
Motor Skill Training Assistance Using Haptic Attributes
In this paper we describe our efforts to develop a new strategy for providing assistance using haptics in a virtual environment when training for a motor skill. Using a record and...
Govindarajan Srimathveeravalli, Thenkurussi Kesava...
ICMLA
2003
13 years 7 months ago
Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
Lukasz A. Kurgan, Krzysztof J. Cios
ISSRE
2005
IEEE
13 years 12 months ago
Providing Test Quality Feedback Using Static Source Code and Automatic Test Suite Metrics
A classic question in software development is “H ow much testing is enough?” Aside from dynamic coverage-based metrics, there are few measures that can be used to provide guid...
Nachiappan Nagappan, Laurie A. Williams, Jason Osb...