Blogs on Hybrid Machine Learning

Design sem nome27 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Splitting Stump Forests: A Model to Accurately “Compress”?

19. March 2025

Edge AI enables local AI model deployment for efficient data processing, but optimization is challenging. This post explores Splitting Stump Forests (SSF), a powerful compression technique for efficient Edge AI deployment. ...

ml industry production lamarr - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

Machine Learning in Production Engineering: Potentials for Efficiency and Innovation

26. February 2025

Machine learning is transforming production engineering through data-driven optimization, hybrid models and expert knowledge. Innovation, efficiency and interdisciplinary collaboration enable new opportunities for economically sustainable, intelligent manufacturing systems for various industrial applications. ...

00 Blog Classroom Beitrag2 Pruningalgorithmen 2 FraundWingenfel - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

Two Pruning Algorithms: MEP vs. PEP – one Goal, different Outcomes

28. February 2024

Pruning can simplify complex decision trees. In this comparison , we explore two algorithms, Minimum Error Pruning (MEP) and Pessimistic Error Pruning (PEP). What are the differences between them, and how far should one go with pruning?...

00 Blog Classroom Beitrag1 Decision Trees FraundWingenfel - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

Complex Decision Trees? How Pruning keeps the ML Tool organized

14. February 2024

Decision Trees are one of the most easily understandable and straightforward tools in the field of Machine Learning. However, Big Data has made them more complex in recent times. Can pruning help make Decision Trees accessible once again?...

00 Blog Bauckhage ChatGPT Part5 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

ChatGPT: A chatbot that can write code?

24. February 2023

A machine that knows everything and even can program? This very human fantasy now seems to have come true. But is ChatGPT reliable? Our author once again interrogated the language model....

00 Blog Ramses Warten - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Research

Using GANs to predict how long we queue

09. February 2022

Estimating how long we wait for a service is key to improving it. Through GANs waiting times can be accurately estimated, with little to no assumptions about the actual service providers....

IML title web - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Research

Informed Machine Learning – Learning from data and prior knowledge

17. February 2021

Informed Machine Learning makes existing sources of knowledge usable and integrates them into Machine Learning processes. This allows models to be trained based on both data and prior knowledge. Companies can thus leverage long-standing expertise effectively....

Markov Random Fischer - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Research

Preparation of incomplete data with Markov Random Fields

13. January 2021

In data with gaps, learning models can be challenging and in some cases even impossible. However, generative approaches can assist by filling in incomplete data with meaningful approximations....