Machine learning using multiple input data types
US10255550B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 7, 2017 |
| Grant date | Apr 9, 2019 |
| Priority date | — |
| Expiry date | Oct 1, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and applying a machine learning model. One of the methods includes the actions of obtaining a plurality of data points associated with a specified object; using a machine learning model to generate a prediction from the obtained plurality of data points, the prediction indicating a likelihood that the object will satisfy a particular parameter and a predicted scope for the parameter, wherein the machine learning model is trained using a training set comprising a collection of data points associated with a labeled set of objects, the label indicating the particular parameter and value for each object of the training set; and based on the prediction, classifying the specified object according to a determination of whether the predicted scope satisfies a threshold value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.