US 2023/0147805 A1 · Method for Generating Training Data for Training a Machine Learning Algorithm

Abstract

A method is for generating training data for training a machine learning algorithm. The training data respectively include a data point and a data value associated with the data point. The method includes providing first training data for training the machine learning algorithm, providing an additional data point, and approximating nearest neighbors of the additional data point based on the data points of the first training data. The method further includes determining a data value associated with the additional data point from data values associated with the nearest neighbors of the additional data point. A data pair, including the additional data point and the data value associated with the additional data point, forms additional training data.

Claims12

Dependent claims

A method for generating training data for training a machine learning algorithm, the training data respectively comprise a data point and a data value associated with the data point, the method comprising:

providing first training data for training the machine learning algorithm;
providing an additional data point;
approximating nearest neighbors of the additional data point based on the data points of the first training data;
determining a data value associated with the additional data point from data values associated with the nearest neighbors of the additional data point;
and
forming additional training data including a data pair having the additional data point and the data value associated with the additional data point.

3 more elements

Dependencies are inferred from the claim text.

Method for Generating Training Data for Training a Machine Learning Algorithm

Life of this patent

Method for Generating Training Data for Training a Machine Learning Algorithm

Life of this patent

Abstract

Claims12