David Nebel

Aspects in Classification Learning - Review of Recent Developments in Learning Vector Quantization

Marika Kaden, Mandy Lange, David Nebel et al. · Foundations of Computing and Decision Sciences · 2014 · 54 citations · Full text

Engineering, Machine Learning, Support Vector Machine +18

Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning

David Nebel, Marika Kaden, Andrea Villmann et al. · Neurocomputing · 2017 · 24 citations

Improved Classification Learning, Data Classification, Instance-based Learning +14

Median variants of learning vector quantization for learning of dissimilarity data

David Nebel, Barbara Hammer, Kathleen Frohberg et al. · Neurocomputing · 2015 · 21 citations

Median Variants, Vector Quantization, Dissimilarity Data +13

Building the library of RNA 3D nucleotide conformations using the clustering approach

Tomasz Żok, Maciej Antczak, Martin Riedel et al. · International Journal of Applied Mathematics and Computer Science · 2015 · 15 citations · Full text

Engineering, Machine Learning, Structural Bioinformatics +20

Differentiable Kernels in Generalized Matrix Learning Vector Quantization

Marika Kästner, David Nebel, Martin Riedel et al. · 2012 · 14 citations · Full text

Data Classification, Support Vector Machine, Classification Method +15