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BMCBI
2010
165views more  BMCBI 2010»
13 years 9 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
WWW
2004
ACM
14 years 9 months ago
A method for modeling uncertainty in semantic web taxonomies
We present a method for representing and reasoning with uncertainty in RDF(S) and OWL ontologies based on Bayesian networks. Categories and Subject Descriptors: I.2.4 Artificial I...
Eero Hyvönen, Markus Holi
CVIU
2007
193views more  CVIU 2007»
13 years 9 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
WMASH
2003
ACM
14 years 2 months ago
MobileNAT: a new technique for mobility across heterogeneous address spaces
We propose a new network layer mobility architecture called MOBILENAT to efficiently support micro and macro-mobility in and across heterogeneous address spaces common in emergin...
Milind M. Buddhikot, Adiseshu Hari, Kundan Singh, ...
NPL
2000
138views more  NPL 2000»
13 years 8 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...