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    JCB
    2000
    146views more  JCB 2000»
    Bayesian Segmentation of Protein Secondary Structure
    13 years 8 months ago
    Bayesian Segmentation of Protein Secondary Structure
    Download  cmgm.stanford.edu
    We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
    Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
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    IJSNET
    2007
    155views more  IJSNET 2007»
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    13 years 8 months ago
    Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
    Download  www.cedric-richard.fr
    : A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
    Hichem Snoussi, Cédric Richard
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    JMM2
    2007
    122views more  JMM2 2007»
    Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
    13 years 8 months ago
    Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
    Download  www.academypublisher.com
    Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
    Justin Muncaster, Yunqian Ma
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    ESOP
    2011
    Springer
    214views Programming Languages» more  ESOP 2011»
    Measure Transformer Semantics for Bayesian Machine Learning
    13 years 4 days ago
    Measure Transformer Semantics for Bayesian Machine Learning
    Download  www.cis.upenn.edu
    Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
    Johannes Borgström, Andrew D. Gordon, Michael...
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    IROS
    2006
    IEEE
    132views Robotics» more  IROS 2006»
    A Bayesian Framework for Landing Site Selection during Autonomous Spacecraft Descent
    14 years 2 months ago
    A Bayesian Framework for Landing Site Selection during Autonomous Spacecraft Descent
    Download  www-robotics.jpl.nasa.gov
    – The success of a landed space exploration mission depends largely on the final landing site. Factors influencing site selection include safety, fuel-consumption, and scientific...
    Navid Serrano
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