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BMCBI
2007
147views more  BMCBI 2007»
13 years 8 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
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...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
BIBE
2006
IEEE
123views Bioinformatics» more  BIBE 2006»
14 years 2 months ago
Isolation and Visualization of Codon Usage Biases
While genomic sequencing projects have proved an abundant source of information for biological studies ranging from the molecular to the ecological in scale, much of the informati...
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, ...
UAI
2001
13 years 10 months ago
Policy Improvement for POMDPs Using Normalized Importance Sampling
We present a new method for estimating the expected return of a POMDP from experience. The estimator does not assume any knowledge of the POMDP, can estimate the returns for finit...
Christian R. Shelton
CHI
2005
ACM
14 years 9 months ago
Beyond being in the lab: using multi-agent modeling to isolate competing hypotheses
In studies of virtual teams, it is difficult to determine pure effects of geographic isolation and uneven communication technology. We developed a multi-agent computer model in Ne...
Ning Nan, Erik W. Johnston, Judith S. Olson, Natha...
INFOCOM
2009
IEEE
14 years 3 months ago
Quantifying the Importance of Vantage Points Distribution in Internet Topology Measurements
—The topology of the Internet has been extensively studied in recent years, driving a need for increasingly complex measurement infrastructures. These measurements have produced ...
Yuval Shavitt, Udi Weinsberg