An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++
dc.creator | Karpievitch, Yuliya V. | |
dc.creator | Hill, Elizabeth G. | |
dc.creator | Leclerc, Anthony P. | |
dc.creator | Dabney, Alan R. | |
dc.creator | Almeida, Jonas S. | |
dc.creator | Rapallo, Fabio | |
dc.date.accessioned | 2019-10-08T20:07:26Z | |
dc.date.available | 2019-10-08T20:07:26Z | |
dc.date.issued | 2009 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/178580 | |
dc.format.extent | 0 | en |
dc.publisher | PloS One | |
dc.relation.ispartof | 1foldr Import 2019-10-08 Batch 1 | en |
dc.relation.uri | 10.1371/journal.pone.0007087 | en |
dc.title | An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++ | en |