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DSN
2011
IEEE
12 years 8 months ago
Modeling time correlation in passive network loss tomography
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
Jin Cao, Aiyou Chen, Patrick P. C. Lee
ECCV
2002
Springer
14 years 10 months ago
Dynamic Trees: Learning to Model Outdoor Scenes
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...
Nicholas J. Adams, Christopher K. I. Williams
WABI
2004
Springer
116views Bioinformatics» more  WABI 2004»
14 years 2 months ago
Topological Rearrangements and Local Search Method for Tandem Duplication Trees
—The problem of reconstructing the duplication history of a set of tandemly repeated sequences was first introduced by Fitch [4]. Many recent studies deal with this problem, show...
Denis Bertrand, Olivier Gascuel
BMCBI
2007
194views more  BMCBI 2007»
13 years 8 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
RECOMB
2004
Springer
14 years 9 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...