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    NN
    2006
    Springer
    163views Neural Networks» more  NN 2006»
    Machine learning approaches for estimation of prediction interval for the model output
    13 years 7 months ago
    Machine learning approaches for estimation of prediction interval for the model output
    Download  www.unesco-ihe.org
    A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
    Durga L. Shrestha, Dimitri P. Solomatine
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 9 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    ICTAI
    2005
    IEEE
    135views Artificial Intelligence» more  ICTAI 2005»
    Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
    14 years 1 months ago
    Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
    Download  web.arch.usyd.edu.au
    This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
    Andrew Vande Moere, Justin James Clayden
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 7 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    Download  www.biomedcentral.com
    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    KDD
    2003
    ACM
    195views Data Mining» more  KDD 2003»
    Visualizing changes in the structure of data for exploratory feature selection
    14 years 8 months ago
    Visualizing changes in the structure of data for exploratory feature selection
    Download  www.ofai.at
    Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
    Elias Pampalk, Werner Goebl, Gerhard Widmer
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