Cita APA (7a ed.)
Villmann, T., Bohnsack, A., & Kaden, M. (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. Journal of Artificial Intelligence and Soft Computing Research. https://doi.org/10.1515/jaiscr-2017-0005
Cita Chicago Style (17a ed.)
Villmann, Thomas, Andrea Bohnsack, y Marika Kaden. "Can Learning Vector Quantization Be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning." Journal of Artificial Intelligence and Soft Computing Research 2017. https://doi.org/10.1515/jaiscr-2017-0005.
Cita MLA (9a ed.)
Villmann, Thomas, et al. "Can Learning Vector Quantization Be an Alternative to SVM and Deep Learning? - Recent Trends and Advanced Variants of Learning Vector Quantization for Classification Learning." Journal of Artificial Intelligence and Soft Computing Research, 2017, https://doi.org/10.1515/jaiscr-2017-0005.
Precaución: Estas citas no son 100% exactas.