Zobrazeno 1 - 8
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pro vyhledávání: '"Ranganath B. N."'
Autor:
Ranganath, B N
Hierarchical Bayesian Models and Matrix factorization methods provide an unsupervised way to learn latent components of data from the grouped or sequence data. For example, in document data, latent component corn-responds to topic with each topic as
Externí odkaz:
http://etd.iisc.ernet.in/2005/3593
http://etd.iisc.ernet.in/abstracts/4462/G28208-Abs.pdf
http://etd.iisc.ernet.in/abstracts/4462/G28208-Abs.pdf
Publikováno v:
Journal of Experimental Zoology India; Jul2021, Vol. 24 Issue 2, p1491-1495, 5p
Publikováno v:
Veterinary World. Nov2012, Vol. 5 Issue 11, p672-675. 4p. 1 Chart.
Publikováno v:
Journal of Experimental Zoology India; Jul2021, Vol. 24 Issue 2, p1513-1515, 3p
Autor:
Ranganath, B N
Data mining is an area to find valid, novel, potentially useful, and ultimately understandable abstractions in a data. Frequent itemset mining is one of the important data mining approaches to find those abstractions in the form of patterns. Frequent
Externí odkaz:
http://hdl.handle.net/2005/830
Autor:
Ranganath B. N., Bhatnagar, Shalabh
Publikováno v:
2016 International Joint Conference on Neural Networks (IJCNN); 2016, p3570-3577, 8p
Publikováno v:
Indian Veterinary Journal; Nov2013, Vol. 90 Issue 11, p35-36, 2p
Publikováno v:
Intas Polivet; Jan-Jun2010, Vol. 11 Issue 1, p96-97, 2p, 1 Black and White Photograph