Sciweavers

2925 search results - page 282 / 585
» Input Modeling Using Quantile Statistical Methods
Sort
View
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
15 years 4 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
BMCBI
2008
186views more  BMCBI 2008»
15 years 27 days 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
69
Voted
CSDA
2006
98views more  CSDA 2006»
15 years 25 days ago
GS-distributions: A new family of distributions for continuous unimodal variables
The choice of the best-suited statistical distribution for modeling data is not a trivial issue. Unless a sound theoretical background exists for selecting a particular distributi...
J. M. Muiño, Eberhard O. Voit, Albert Sorri...
96
Voted
RECOMB
2005
Springer
16 years 1 months ago
A Hidden Markov Model Based Scoring Function for Mass Spectrometry Database Search
An accurate scoring function for database search is crucial for peptide identification using tandem mass spectrometry. Although many mathematical models have been proposed to scor...
Yunhu Wan, Ting Chen
96
Voted
CVPR
2001
IEEE
16 years 2 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb