发明名称 |
Hierarchical based sequencing machine learning model |
摘要 |
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). |
申请公布号 |
US8812417(B2) |
申请公布日期 |
2014.08.19 |
申请号 |
US201213590000 |
申请日期 |
2012.08.20 |
申请人 |
Insidesales.com, Inc. |
发明人 |
Martinez Tony Ramon;Zeng Xinchuan;Morris Richard Glenn |
分类号 |
G06E1/00;G06F15/18;G06G7/00 |
主分类号 |
G06E1/00 |
代理机构 |
Maschoff Brennan |
代理人 |
Maschoff Brennan |
主权项 |
1. A method comprising:
employing a machine learning model to predict multiple interdependent distinctly-typed output components of a multiple output dependency (MOD) output decision, the employing including:
predicting a first one of the output components using an input;predicting a second one of the output components using the same input and using the first one of the output components; andpredicting a third one of the output components using the same input, using the first one of the output components, and using the second one of the output components. |
地址 |
Provo UT US |