Andrea Bohnsack

According to our database, Andrea Bohnsack authored at least 5 papers between 2015 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Can Learning Vector Quantization be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning.

Thomas Villmann, Andrea Bohnsack, Marika Kaden

J. Artif. Intell. Soft Comput. Res., 2017

2016

Learning matrix quantization and relevance learning based on Schatten-p-norms.

Andrea Bohnsack, Kristin Domaschke, Marika Kaden, Mandy Lange, Thomas Villmann

Neurocomputing, 2016

Self-Adjusting Reject Options in Prototype Based Classification.

Thomas Villmann, Marika Kaden, Andrea Bohnsack, J.-M. Villmann, T. Drogies, Sascha Saralajew, Barbara Hammer

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning - A Mathematical Characterization.

Thomas Villmann, Marika Kaden, David Nebel, Andrea Bohnsack

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms.

Andrea Bohnsack, Kristin Domaschke, Marika Kaden, Mandy Lange, Thomas Villmann

Proceedings of the Artificial Intelligence and Soft Computing, 2015