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    IJCAI
    2007
    280views Artificial Intelligence» more  IJCAI 2007»
    Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
    13 years 10 months ago
    Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
    Download  www.ijcai.org
    Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
    Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
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    PAMI
    2006
    147views more  PAMI 2006»
    Bayesian Gaussian Process Classification with the EM-EP Algorithm
    13 years 8 months ago
    Bayesian Gaussian Process Classification with the EM-EP Algorithm
    Download  www.gatsby.ucl.ac.uk
    Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
    Hyun-Chul Kim, Zoubin Ghahramani
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    ESWA
    2008
    151views more  ESWA 2008»
    Automated diagnosis of sewer pipe defects based on machine learning approaches
    13 years 8 months ago
    Automated diagnosis of sewer pipe defects based on machine learning approaches
    Download  sds.caece.net
    In sewage rehabilitation planning, closed circuit television (CCTV) systems are the widely used inspection tools in assessing sewage structural conditions for non man entry pipes....
    Ming-Der Yang, Tung-Ching Su
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 8 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    ICML
    2009
    IEEE
    122views Machine Learning» more  ICML 2009»
    Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
    14 years 9 months ago
    Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
    Download  www.cs.toronto.edu
    The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
    Ryan Prescott Adams, Iain Murray, David J. C. MacK...
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