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» Modeling affordances using Bayesian networks
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BMCBI
2008
137views more  BMCBI 2008»
14 years 10 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
IFIP
2003
Springer
15 years 3 months ago
A Service Discovery Model for Wireless and Mobile Terminals in IPv6
As the mobility and the number of affordable, powerful, and highly portable devices becoming networked increases, so will the amount of networked services offered, managed and disc...
Bilhanan Silverajan, Jaakko Kalliosalo, Jarmo Harj...
HICSS
2010
IEEE
167views Biometrics» more  HICSS 2010»
15 years 4 months ago
Bayesian Networks for the Assessment of the Effect of Urbanization on Stream Macroinvertebrates
It is generally acknowledged that macroinvertebrates are good indicators of water quality in streams, as a number of taxa are sensitive to pollution and integrate their response t...
Kenneth H. Reckhow
RECOMB
2007
Springer
15 years 10 months ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
ICASSP
2009
IEEE
15 years 4 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch