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Showing 1 to 5 of 5 for “"Ordinal Classification"”.

  1. Ordinal HyperPlane Loss

    … analyzing ordered class data, commonly called “ordinal class” data. The focus of the work is the development of classifiers (predictive models) that predict classes from available data. Ratings scales, medical classification scales, socio-economic scales, meaningful groupings of continuous data, …

    kennesaw Repository record for Ordinal HyperPlane Loss (opens in a new tab)

  2. Domain and User-Centered Machine Learning for Medical Image Analysis

    … advantages of shifting from a strictly discrete (ordinal) model of disease severity distribution to a continuously valued one. We introduce a generalized framework that can recover information lost by discretizing continuous variables into discrete training labels. Furthermore, disagreements in …

    mit Repository record for Domain and User-Centered Machine Learning for Medical Image Analysis (opens in a new tab)

  3. Classification in the Presence of Ordered Classes and Weighted Evaluative Attributes

    … fields. This is a special case of the general classification problem, in which records describing entities of interest have been expressed in terms of a number of evaluative attributes. These attributes are associated with weights of importance, and both the data and the classes are ordinal. …

    lsu-thes Repository record for Classification in the Presence of Ordered Classes and Weighted Evaluative Attributes (opens in a new tab)