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    BMCBI
    2007
    152views more  BMCBI 2007»
    Difference-based clustering of short time-course microarray data with replicates
    13 years 9 months ago
    Difference-based clustering of short time-course microarray data with replicates
    Download  www.biomedcentral.com
    Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
    Jihoon Kim, Ju Han Kim
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    BMCBI
    2007
    194views more  BMCBI 2007»
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    13 years 9 months ago
    Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
    Download  www.biomedcentral.com
    Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
    Xin Zhao, Leo Wang-Kit Cheung
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    IDEAL
    2004
    Springer
    232views Intelligent Agents» more  IDEAL 2004»
    Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
    14 years 2 months ago
    Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
    Download  www.eie.polyu.edu.hk
    Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
    Michael Small
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    NIPS
    2001
    142views Information Technology» more  NIPS 2001»
    On the Generalization Ability of On-Line Learning Algorithms
    13 years 10 months ago
    On the Generalization Ability of On-Line Learning Algorithms
    Download  homes.dsi.unimi.it
    In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
    Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
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    EOR
    2007
    151views more  EOR 2007»
    A possibilistic decision model for new product supply chain design
    13 years 8 months ago
    A possibilistic decision model for new product supply chain design
    Download  www.lancs.ac.uk
    This paper models supply chain (SC) uncertainties by fuzzy sets and develops a possibilistic SC configuration model for new products with unreliable or unavailable SC statistical...
    Juite Wang, Yun-Feng Shu
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