Invention Grant
- Patent Title: Training a machine learning model using a batch based active learning approach
-
Application No.: US16582928Application Date: 2019-09-25
-
Publication No.: US11715032B2Publication Date: 2023-08-01
- Inventor: Gaurav Gupta , Anit Kumar Sahu , Wan-Yi Lin , Joseph Christopher Szurley
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Michael Best & Friedrich LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04

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.
Public/Granted literature
- US20210089960A1 TRAINING A MACHINE LEARNING MODEL USING A BATCH BASED ACTIVE LEARNING APPROACH Public/Granted day:2021-03-25
Information query