Andrea Bohnsack

According to our database1, Andrea Bohnsack authored at least 5 papers between 2015 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

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

2016
Learning matrix quantization and relevance learning based on Schatten-p-norms.
Neurocomputing, 2016

Self-Adjusting Reject Options in Prototype Based Classification.
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.
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.
Proceedings of the Artificial Intelligence and Soft Computing, 2015


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