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CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 7 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
BMCBI
2006
95views more  BMCBI 2006»
13 years 7 months ago
XcisClique: analysis of regulatory bicliques
Background: Modeling of cis-elements or regulatory motifs in promoter (upstream) regions of genes is a challenging computational problem. In this work, set of regulatory motifs si...
Amrita Pati, Cecilia Vasquez-Robinet, Lenwood S. H...
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
Background: Vaccine development in the post-genomic era often begins with the in silico screening of genome information, with the most probable protective antigens being predicted...
Irini A. Doytchinova, Darren R. Flower
CORR
2007
Springer
105views Education» more  CORR 2007»
13 years 7 months ago
Relative-Error CUR Matrix Decompositions
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...
ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 years 7 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...