Training a machine learning model using a batch based active learning approach
US11715032B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 25, 2019 |
| Grant date | Aug 1, 2023 |
| Priority date | — |
| Expiry date | Dec 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for training a machine learning model using a batch based active learning approach. The system includes an information source and an electronic processor. The electronic processor is configured to receive a machine learning model to train, an unlabeled training data set, a labeled training data set, and an identifier of the information source. The electronic processor is also configured to select a batch of training examples from the unlabeled training data set and send, to the information source, a request for, for each training example included in the batch, a label for the training example. The electronic processor is further configured to, for each training example included in the batch, receive a label, associate the training example with the label, and add the training example to the labeled training data set. The electronic processor is also configured to train the machine learning model using the labeled training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.