209,491 research outputs found

    [Report to Chief J. E. Curry, by an unknown author #1]

    No full text
    Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney

    [Report to Chief J. E. Curry, by an unknown author #2]

    No full text
    Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney

    Detailed results of Multilabel Prototype Generation for Data Reduction in k-Nearest Neighour classification

    No full text
    Detailed experimental results of both the proposed and existing multilabel Prototype Generation methods for Data Reduction in k-Nearest Neighbour classification:1. General Multilabel PG comparative- General comparison of the proposed methods against the existing proposals in the literature.- Individual results provided for each corpus.- Corresponds to Section 5.1 in the manuscript.2. Noise robustness- Study of the noise robustness capabilities of the proposed strategies as well as the existing methods.- Individual results provided for each corpus.- Corresponds to Section 5.2 in the manuscript.3. Imbalanced data- Assessment considering imbalanced data metrics.- Individual results provided for each corpus.- Corresponds to Section 5.3 in the manuscript.4. Execution time bechmarking- Benchmarking comparative, in terms of execution time, of the assessed methods.- Individual results provided for each iteration considered.- Corresponds to Section 5.4 in the manuscript

    Detailed results of Multilabel Prototype Generation for Data Reduction in k-Nearest Neighour classification

    No full text
    Detailed experimental results of both the proposed and existing multilabel Prototype Generation methods for Data Reduction in k-Nearest Neighbour classification:1. General Multilabel PG comparative- General comparison of the proposed methods against the existing proposals in the literature.- Individual results provided for each corpus.- Corresponds to Section 5.1 in the manuscript.2. Noise robustness- Study of the noise robustness capabilities of the proposed strategies as well as the existing methods.- Individual results provided for each corpus.- Corresponds to Section 5.2 in the manuscript.3. Imbalanced data- Assessment considering imbalanced data metrics.- Individual results provided for each corpus.- Corresponds to Section 5.3 in the manuscript.4. Execution time bechmarking- Benchmarking comparative, in terms of execution time, of the assessed methods.- Individual results provided for each iteration considered.- Corresponds to Section 5.4 in the manuscript

    Murder on the mountain: author talk with Peter J. Wosh

    No full text
    Author talk by Peter J. Wosh on May 5th, 2022, on his book, "Murder on the Mountain: crime, passion, and punishment in gilded age New Jersey.
    corecore