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    Stop Cyber Threats with VM-Series Next-Gen Firewall on Azure

    Native application identity and user-based security for your Azure cloud

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    Gemini 3 and 200+ AI Models on One Platform

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  • 1
    EduData

    EduData

    Datasets in Education and convenient interface for dataset

    ...The "mature" data is in json sequence format and can be modeled by XKT and TKT(TBA) The analysis dataset tool only supports the json sequence format. To check the following statical indexes of the dataset. In order to better verify the effectiveness of the model, the dataset is usually divided into train/valid/test or using kfold method. Each item in the sequence represents one interaction. The first element of the item is the exercise id (in some works, the exercise id is not one-to-one mapped to one knowledge unit(ku)/concept, but in junyi, one exercise contains one ku) and the second one indicates whether the learner correctly answers the exercise, 0 for wrongly while 1 for correctly.
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  • 2
    GDINA Package for Cognitively Diagnostic

    GDINA Package for Cognitively Diagnostic

    Package for Cognitively Diagnostic Analyses

    ...Estimating the generalized multiple-strategy cognitive diagnosis models (experimental). Estimating the diagnostic tree model (experimental). Estimating multiple-choice models. Modelling independent, saturated, higher-order, loglinear smoothed, and structured joint attribute distribution. Accommodating multiple-group model analysis. Imposing monotonic constrained success probabilities. Accommodating binary and polytomous attributes.
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  • 3

    Belief Reviser

    Belief Revision via PS-Merge under constraints belief merging operator

    ...Such new evidence is usually represented in the form of a propositional formula which must be preserved after the revision. Here, the Δps (PS-Merge) belief merging operator is extended in order to consider constraints, and this extension is used as a strategy for belief revision. The new evidence is treated as a constraint so the extended merging operator can obtain the revised belief base.
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  • 4
    PEOPLE Smart Cities

    PEOPLE Smart Cities

    Pilot smart urban Ecosystems leveraging Open innovation for E-services

    PEOPLE aims at speeding up the uptake of smart cities through the rapid implementation, deployment and uptake of innovative internet-based services in order to allow facing the main challenges of developed cities at present and towards their future quality of life. This will be enabled by designing and implementing user-driven open innovation methodologies and processes.
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    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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