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IJUFKS
2000
111views more  IJUFKS 2000»
13 years 8 months ago
A Factorized Representation of Independence of Causal Influence and Lazy Propagation
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
Anders L. Madsen, Bruce D'Ambrosio
BMCBI
2010
160views more  BMCBI 2010»
13 years 3 months ago
eHive: An Artificial Intelligence workflow system for genomic analysis
Background: The Ensembl project produces updates to its comparative genomics resources with each of its several releases per year. During each release cycle approximately two week...
Jessica Severin, Kathryn Beal, Albert J. Vilella, ...
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
CVIU
2007
193views more  CVIU 2007»
13 years 8 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
AAAI
2010
13 years 10 months ago
Informed Lifting for Message-Passing
Lifted inference, handling whole sets of indistinguishable objects together, is critical to the effective application of probabilistic relational models to realistic real world ta...
Kristian Kersting, Youssef El Massaoudi, Fabian Ha...