Invention Grant
- Patent Title: Hierarchical based sequencing machine learning model
- Patent Title (中): 基于分层的测序机器学习模型
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Application No.: US13590000Application Date: 2012-08-20
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Publication No.: US08812417B2Publication Date: 2014-08-19
- Inventor: Tony Ramon Martinez , Xinchuan Zeng , Richard Glenn Morris
- Applicant: Tony Ramon Martinez , Xinchuan Zeng , Richard Glenn Morris
- Applicant Address: US UT Provo
- Assignee: Insidesales.com, Inc.
- Current Assignee: Insidesales.com, Inc.
- Current Assignee Address: US UT Provo
- Agency: Maschoff Brennan
- Main IPC: G06E1/00
- IPC: G06E1/00 ; G06F15/18 ; G06G7/00

Abstract:
A hierarchical based sequencing (HBS) machine learning model. In one example embodiment, a method of employing an HBS machine learning model to predict multiple interdependent output components of an MOD output decision may include determining an order for multiple interdependent output components of an MOD output decision. The method may also include sequentially training a classifier for each component in the selected order to predict the component based on an input and based on any previous predicted component(s).
Public/Granted literature
- US20140052678A1 HIERARCHICAL BASED SEQUENCING MACHINE LEARNING MODEL Public/Granted day:2014-02-20
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