6 projects for "data.6bin" with 2 filters applied:

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  • 1
    XSB
    Logic Programming and Deductive Database system (Tabled Prolog) for Unix, Mac, and Windows.
    Downloads: 28 This Week
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  • 2
    General Knowledge Machine Project

    General Knowledge Machine Project

    Intellect Modeling Kit: assisting research, diagnostics, consulting

    ...Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate propositions; * Memorizing - new knowledge item creation; * Abstraction – building objects representing typical signs of similar objects groups, data mining. KM is not intended to replace human experts, it is built to multiply abilities. Machine should not be responsible for decisions. The IMK is designed to create ready-to-use software applications using simple text files. Any human knowledge can be uploaded to KM by expert not familiar with software coding. Demos present in kit. ...
    Downloads: 11 This Week
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  • 3
    VIKAMINE is a flexible environment for visual analytics, data mining and business intelligence - implemented in pure Java. It features several powerful visualization and mining methods, and can utilize background knowledge.
    Downloads: 0 This Week
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  • 4
    Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD).
    Downloads: 0 This Week
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    AI-powered service management for IT and enterprise teams

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  • 5
    The Crystallizing Substochastic Sequential Machine Extractor, CrySSMEx, is an algorithm for extracting Finite State Machines from Recurrent Neural Networks. Input: sequential data generated from RNNs. Output: (stochastic) FSMs and state space quantizers.
    Downloads: 0 This Week
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  • 6
    Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
    Downloads: 0 This Week
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