Nasdaq, Inc.
MODULAR MACHINE LEARNING SYSTEMS AND METHODS

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Abstract:

A computer system is provided that is designed to handle multi-label classification. The computer system includes multiple processing instances that are arranged in a hierarchal manner and execute differently trained classification models. The classification task of one processing instance and the executed model therein may rely on the results of classification performed by another processing instance. Each of the models may be associated with a different threshold value that is used to binarize the probability output from the classification model.

Status:
Application
Type:

Utility

Filling date:

8 Sep 2020

Issue date:

10 Mar 2022