Jonas Pieter Halfdan Jongejan

Title: Jonas Pieter Halfdan Jongejan and Node-Based Machine Learning Interfaces.

Introduction

Jonas Pieter Halfdan Jongejan is an inventor associated with Google Inc. and based in Brooklyn, New York. His patent work concerns an interface for building and evaluating machine-learning classification models.

Latest Patents

Jongejan is named on 1 patent: “Node-Based Interface for Machine Learning Classification Modeling.” The invention describes an interface organized around nodes for data classes, model training, and evaluation. Users can provide separate sets of training data through class nodes, initiate model training at a training node, and supply evaluation data through an evaluation node. The system then uses the trained model to classify each evaluation item and displays the results within the evaluation node.

Career Highlights

The patent reflects work on making machine-learning workflows more visual and accessible. Its node-based design brings data preparation, model training, and evaluation together in a single interface.

Collaborations

Jongejan’s listed coworkers include Barron Webster and Irene Alvarado. The available information identifies his association with Google Inc. but does not specify the coworkers’ roles in the patent.

Conclusion

Jonas Pieter Halfdan Jongejan’s patent documents a visual, node-based approach to training and evaluating classification models, connecting his inventive work with machine-learning interface design.