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3 datasets found

  • Deep kernel and deep learning for genomic-based prediction N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    Deep learning (DL) is a promising method in the context of genomic prediction for selecting individuals early in time without measuring their phenotypes. iI this paper we compare the performance in terms of genome-based prediction of the DL method, deep kernel (arc-cosine kernel, AK) method, Gaussian kernel (GK) method and the conventional kernel method...
    Created January 20, 2025 • Updated January 20, 2025

  • New deep learning genomic prediction model for multi-traits with mixed binary... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.
    Created January 20, 2025 • Updated January 20, 2025

  • Deep learning genomic-enabled prediction of plant traits N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (and often overlaps with) computational statistics, which also focuses on...
    Created January 20, 2025 • Updated January 20, 2025
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