Tags: Machine Learning

All Categories (1-3 of 3)

  1. Modeling the Sea Level Changes in Guam

    2019-10-10 01:49:22 | Datasets | Contributor(s): Avnika Manaktala | doi:10.4231/0A0F-7A84

    This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.


  2. Code and Dataset for TARP Detection Benchmarks

    2017-05-12 20:50:14 | Datasets | Contributor(s): Kelsie Larson, Mireille Boutin | doi:10.4231/R7ST7MVC

    The TARP method uses random projections, followed by threshold classifications, to construct receiver-operating characteristic curves and uncover underlying structure in the given data.


  3. Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data

    2015-09-30 20:07:55 | Datasets | Contributor(s): Murat Dundar, Qiang Kou, Baichuan Zhang, Yicheng He, Bartlomiej P. Rajwa | doi:10.4231/R7N58J9Z

    A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity


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