Thomas Villmann, Alexander Engelsberger, Jensun Ravichandran, Andrea Villmann, Marika Kaden. Quantum-inspired learning vector quantizers for prototype-based classification. Neural Computing and Applications, 34(1):79-88, 2022. [doi]
@article{VillmannERVK22,
title = {Quantum-inspired learning vector quantizers for prototype-based classification},
author = {Thomas Villmann and Alexander Engelsberger and Jensun Ravichandran and Andrea Villmann and Marika Kaden},
year = {2022},
doi = {10.1007/s00521-020-05517-y},
url = {https://doi.org/10.1007/s00521-020-05517-y},
researchr = {https://researchr.org/publication/VillmannERVK22},
cites = {0},
citedby = {0},
journal = {Neural Computing and Applications},
volume = {34},
number = {1},
pages = {79-88},
}