Invention Grant
- Patent Title: Techniques for querying a hierarchical model to identify a class from multiple classes
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Application No.: US16147273Application Date: 2018-09-28
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Publication No.: US10733538B2Publication Date: 2020-08-04
- Inventor: Gautam Singaraju , Jiarui Ding , Sangameswaran Viswanathan
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F16/28
- IPC: G06F16/28 ; G06N20/00 ; G06F16/22 ; H04L12/58 ; G06N5/00 ; G06F16/9032 ; G06N20/10 ; G06F40/35 ; G06N3/08 ; G10L15/06 ; G10L15/18 ; G06F16/31 ; G06F16/35 ; G06F16/33 ; G06K9/62 ; G10L15/16

Abstract:
Techniques disclosed herein relate to querying a hierarchical classification model that includes a plurality of classification models. The hierarchical classification model is configured to classify an input into a class in a plurality of classes and includes a tree structure. The tree structure includes leaf nodes and non-leaf nodes. Each non-leaf node has two child nodes associated with two respective sets of classes in the plurality of classes, where a difference between numbers of classes in the two sets of classes is zero or one. Each leaf node is associated with at least two but fewer than a first threshold number of classes. Each of the leaf nodes and non-leaf nodes is associated with a classification model in the plurality of classification models of the hierarchical classification model. The classification model associated with each respective node in the tree structure can be trained independently.
Public/Granted literature
- US20190102345A1 TECHNIQUES FOR QUERYING A HIERARCHICAL MODEL TO IDENTIFY A CLASS FROM MULTIPLE CLASSES Public/Granted day:2019-04-04
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