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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 7 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Download  www.biomedcentral.com
    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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    ICDM
    2006
    IEEE
    145views Data Mining» more  ICDM 2006»
    Stability Region Based Expectation Maximization for Model-based Clustering
    14 years 1 months ago
    Stability Region Based Expectation Maximization for Model-based Clustering
    Download  www.cs.wayne.edu
    In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
    Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
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    BC
    1998
    77views more  BC 1998»
    Nonlinear analysis of epileptic activity in rabbit neocortex
    13 years 7 months ago
    Nonlinear analysis of epileptic activity in rabbit neocortex
    Download  www.ini.uzh.ch
    Abstract. We report on the nonlinear analysis of electroencephalogram (EEG) recordings in the rabbit visual cortex. Epileptic seizures were induced by local penicillin application ...
    J. Sarnthein, Henry D. I. Abarbanel, H. Pockberger
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    MICCAI
    2009
    Springer
    176views Medical Imaging» more  MICCAI 2009»
    Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties
    14 years 4 months ago
    Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties
    Download  www.sci.utah.edu
    Abstract. It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynami...
    Sylvain Gouttard, Marcel Prastawa, Elizabeth Bulli...
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    NIPS
    1996
    192views Information Technology» more  NIPS 1996»
    Multidimensional Triangulation and Interpolation for Reinforcement Learning
    13 years 9 months ago
    Multidimensional Triangulation and Interpolation for Reinforcement Learning
    Download  www.cs.cmu.edu
    Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
    Scott Davies
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