9 projects for "bayesian" with 2 filters applied:

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  • 1
    The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).
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  • 2
    Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy
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  • 3
    Feedisto is your personal newspaper. Your newspaper is collocted from rss feeds, parsed by a bayesian filter to rate its relevance and served as a static html page or on a webserver to train the filter. Writing plugins is very easy.
    Downloads: 0 This Week
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  • 4
    Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
    Downloads: 0 This Week
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  • 5
    The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.
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  • 6
    Distributed Dynamic Bayesian Networks
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  • 7

    RISO: distributed belief networks

    Distributed, heterogeneous Bayesian belief networks

    RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
    Downloads: 0 This Week
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  • 8
    A general purpose C++ library for Bayesian Filtering.<p> Essentially Bayesian Filtering is a way of having a program learn to categorize information from a specific user through pattern recognition. <p>
    Downloads: 0 This Week
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  • 9
    Development of a unifying framework for Bayesian Networks under Kalamar guidence.
    Downloads: 0 This Week
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