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» Identifying graphs from noisy and incomplete data
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FUIN
2006
160views more  FUIN 2006»
13 years 7 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
NAR
2002
138views more  NAR 2002»
13 years 7 months ago
The KEGG databases at GenomeNet
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order fun...
Minoru Kanehisa, Susumu Goto, Shuichi Kawashima, A...
BMCBI
2010
155views more  BMCBI 2010»
13 years 7 months ago
A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer
Background: In the study of cancer genomics, gene expression microarrays, which measure thousands of genes in a single assay, provide abundant information for the investigation of...
Fan Shi, Christopher Leckie, Geoff MacIntyre, Izha...
NIPS
2008
13 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
IROS
2008
IEEE
171views Robotics» more  IROS 2008»
14 years 2 months ago
Biomimetic grasp planning for cortical control of a robotic hand
— In this paper we outline a grasp planning system designed to augment the cortical control of a prosthetic arm and hand. A key aspect of this task is the presence of on-line use...
Matei T. Ciocarlie, Samuel T. Clanton, M. Chance S...