White paper

Active Learning

Intelligent parameter selection for hardware-in-the-loop tests

Active Learning is a form of machine learning used in complex test situations. Active Learning can significantly reduce the data training process resulting in up to 10x time and cost reduction.

Daniel Haake and Dr. Andreas Maier, Senior Data Scientists at the Orange Group entity The unbelievable Machine Company, have developed and successfully applied Active Learning to hardware-in the-loop testing of components for a major European automotive manufacturer.

In this whitepaper, they discuss how they went about it and the benefits and opportunities afforded by Active Learning.