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

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Bibliografiset tiedot
Julkaisussa:	Journal of Artificial Intelligence and Soft Computing Research vol. 7, no. 1 (2017), p. 65
Päätekijä:	Villmann, Thomas
Muut tekijät:	Bohnsack, Andrea, Kaden, Marika
Julkaistu:	De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Aiheet:	Advanced driver assistance systems Deep learning Classification Mathematical analysis Support vector machines Cost function Optimization Prototypes Computing costs Industrial applications Algorithms Machine learning Euclidean geometry Learning vector quantization networks
Linkit:	Citation/Abstract Full Text - PDF
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