17 search results - page 1 / 4 » Bias of Importance Measures for Multi-valued Attributes and ... |
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ICANN
2011
Springer
14 years 28 days ago
2011
Springer
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...
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BMCBI
2007
14 years 9 months ago
2007
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
BMCBI
2010
14 years 9 months ago
2010
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
CP
2008
Springer
14 years 11 months ago
2008
Springer
Backbone variables have the same assignment in all solutions to a given constraint satisfaction problem; more generally, bias represents the proportion of solutions that assign a v...
TRUST
2009
Springer
15 years 4 months ago
2009
Springer
UCON is a highly flexible and expressive usage control model which allows an object owner to specify detailed usage control policies to be evaluated on a remote platform. Assuranc...