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BMCBI
2008
186views more  BMCBI 2008»
14 years 9 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
WSC
1994
14 years 11 months ago
Consistency of overlapping batch variances
Overlapping batch statistics estimate the variance of point estimators using overlapping batches (Schmeiser, Avramidis and Hashem 1990). In this paper we study sufficient conditio...
Demet C. Wood, Bruce W. Schmeiser
NIPS
2000
14 years 11 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...
SIGMETRICS
2012
ACM
257views Hardware» more  SIGMETRICS 2012»
13 years 4 days ago
Fair sampling across network flow measurements
Sampling is crucial for controlling resource consumption by internet traffic flow measurements. Routers use Packet Sampled NetFlow [9], and completed flow records are sampled in...
Nick G. Duffield
ICML
2006
IEEE
15 years 10 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...