17 search results - page 1 / 4 » Bias of Importance Measures for Multi-valued Attributes and ... |
ICANN
2011
Springer
12 years 8 months 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...
BMCBI
2007
13 years 4 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
13 years 4 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
13 years 6 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
13 years 11 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...