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  • Author(s):
    dschiava
    Abstract:

    We analyze the regression accuracy of convolutional neural networks assembled from encoders, decoders and skip connections and trained with multifidelity data. These networks benefit from a significant reduction in the number of trainable parameters with respect to an equivalent fully connected network. These architectures are also versatile with respect to the input and output dimensionality. For example, encoder-decoder, decoder-encoder or decoder-encoder-decoder architectures are well suit…

    Date Created:
    2021-12-04
    Record Visibility:
    Public
  • Creator(s):
    Edward Beatty
    Description:

    The Mexico Patent Database collects data on patents issued in Mexico from roughly 1840 to the onset of the Mexican Revolution in 1911, totaling approximately thirteen thousand four hundred (13,300) discrete patent records. At present, this is the most comprehensive record available of patents issued by Mexican governments during the nineteenth century. There is no single archival or published source that contains a comprehensive list of, or data on, Mexican patents issued through this time …

    Date Created:
    2018-01-29
    Record Visibility:
    Public
  • Creator(s):
    Sunny Boyd
    Description:

    Mate choice strategies in a spatially-explicit model environment

    Giordano B. S. Ferreira1, Matthias Scheutz1, and Sunny K. Boyd2 1Department of Computer Science, Tufts University, Medford, MA 02155, USA Matthias.scheutz@tufts.edu and Giordano.Ferreira@tufts.edu 2Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA Boyd.1@nd.edu (Corresponding author; phone: 574-631-5021; fax: 574-631-7413)

    Keywords: mate choice, decision-making, agent-based modeling, f…

    Date Created:
    2017-12-14
    Record Visibility:
    Public