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SADM
2011
13 years 3 months ago
Random survival forests for high-dimensional data
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J...
JMLR
2010
120views more  JMLR 2010»
13 years 3 months ago
Effective Wrapper-Filter hybridization through GRASP Schemata
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
Mohamed Amir Esseghir
ICSE
2011
IEEE-ACM
13 years 10 days ago
Using software evolution history to facilitate development and maintenance
Much research in software engineering have been focused on improving software quality and automating the maintenance process to reduce software costs and mitigating complications ...
Pamela Bhattacharya
CIKM
2011
Springer
12 years 8 months ago
Supervised language modeling for temporal resolution of texts
We investigate temporal resolution of documents, such as determining the date of publication of a story based on its text. We describe and evaluate a model that build histograms e...
Abhimanu Kumar, Matthew Lease, Jason Baldridge
PERCOM
2005
ACM
14 years 8 months ago
Adaptive Temporal Radio Maps for Indoor Location Estimation
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Jie Yin, Qiang Yang, Lionel M. Ni