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<ref name="TensorLVMs" >{{cite journal |last1=Anandkumar |first1=Animashree |last2=Ge |first2=Rong |last3=Hsu |first3=Daniel |last4=Kakade |first4=Sham |first5= Matus |last5=Telgarsky |date=2014 |title=Tensor Decompositions for Learning Latent Variable Models |url=http://www.jmlr.org/papers/volume15/anandkumar14b/anandkumar14b.pdf |journal=Journal of Machine Learning Research |volume=15 |pages=2773–2832|bibcode=2012arXiv1210.7559A |arxiv=1210.7559 }}</ref>
<ref name="Buhmann" >{{Cite book|last1=Buhmann|first1=J.|last2=Kuhnel|first2=H.|title= [Proceedings 1992] IJCNN International Joint Conference on Neural Networks|volume=4|pages=796–801|publisher=IEEE|doi=10.1109/ijcnn.1992.227220|isbn=0780305590|chapter=Unsupervised and supervised data clustering with competitive neural networks|year=1992|s2cid=62651220}}</ref>
<ref name="Comesana" >{{Cite journal|last1=Comesaña-Campos|first1=Alberto|last2=Bouza-Rodríguez|first2=José Benito|date=June 2016|title=An application of Hebbian learning in the design process decision-making|journal=Journal of Intelligent Manufacturing|volume=27|issue=3|pages=487–506|doi=10.1007/s10845-014-0881-z|s2cid=207171436|issn=0956-5515
<ref name="Carpenter" >{{cite journal|author1=Carpenter, G.A.|author2=Grossberg, S.|name-list-style=amp|year=1988|title=The ART of adaptive pattern recognition by a self-organizing neural network|journal=Computer|volume=21|issue=3|pages=77–88|url=http://www.cns.bu.edu/Profiles/Grossberg/CarGro1988Computer.pdf|doi=10.1109/2.33|s2cid=14625094|access-date=2013-09-16|archive-date=2018-05-16|archive-url=https://web.archive.org/web/20180516131553/http://www.cns.bu.edu/Profiles/Grossberg/CarGro1988Computer.pdf|url-status=dead}}</ref>
<ref name="Hinton2010" >{{cite book | last = Hinton |first=G. | date=2012 |chapter = A Practical Guide to Training Restricted Boltzmann Machines |chapter-url=http://www.cs.utoronto.ca/~hinton/absps/guideTR.pdf |publisher=Springer |title=Neural Networks: Tricks of the Trade |series=Lecture Notes in Computer Science |volume=7700 |pages=599–619 |doi=10.1007/978-3-642-35289-8_32 |isbn=978-3-642-35289-8}}</ref>
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