MACHINE LEARNING USING MAP REPRESENTATIONS OF CATEGORICAL DATA TO PROVIDE CLASSIFICATION PREDICTIONS
Number of patents in Portfolio can not be more than 2000
United States of America
Stats
-
N/A
Issued Date -
Dec 26, 2024
app pub date -
Jun 20, 2023
filing date -
Jun 20, 2023
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
Various embodiments of the present disclosure provide machine learning using map representations of categorical data to provide classification predictions. In one example, an embodiment provides for generating a first map representation of a first categorical input feature set for categorical data based on a first coding standard. A second map representation of a second categorical input feature set for the categorical data may also be generated based on a second coding standard. Additionally, at least one machine learning model may be applied to the first map representation and the second map representation to generate the prediction output. Based on the prediction output one or more prediction-based actions may also be performed.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully