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    NIPS
    2007
    182views Information Technology» more  NIPS 2007»
    Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
    13 years 9 months ago
    Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
    Download  books.nips.cc
    We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
    Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
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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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    IPPS
    2007
    IEEE
    158views Distributed And Parallel Com...» more  IPPS 2007»
    Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
    14 years 1 months ago
    Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
    Download  www.liacs.nl
    This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
    Hui Li, Lex Wolters
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    TMI
    2010
    175views more  TMI 2010»
    Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
    13 years 2 months ago
    Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
    Download  hal.archives-ouvertes.fr
    Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
    Thomas Vincent, Laurent Risser, Philippe Ciuciu
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    ICML
    2007
    IEEE
    179views Machine Learning» more  ICML 2007»
    Bottom-up learning of Markov logic network structure
    14 years 8 months ago
    Bottom-up learning of Markov logic network structure
    Download  www.machinelearning.org
    Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
    Lilyana Mihalkova, Raymond J. Mooney
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