Zobrazeno 1 - 10
of 90
pro vyhledávání: '"C. Raghavendra Rao"'
Publikováno v:
HiPC
Dimensionality reduction algorithms are often used to visualize multi-dimensional data, which are mostly non-parametric. Non-parametric methods do not provide any explicit intuition for adding new data points into an existing environment which limits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf1753f82c3896293e52a032addacf57
https://doi.org/10.1109/hipc.2019.00019
https://doi.org/10.1109/hipc.2019.00019
Publikováno v:
Child Indicators Research. 12:1351-1368
The potential for children to be used as agents of change in health research and practice is being increasingly valued. To reach this objective, it is foremost to gauge children’s perceptions about health, based on which future pathways to health p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e196e3a690df577f5d7e2b2a2f7e59c
https://doi.org/10.1007/s12187-018-9593-9
https://doi.org/10.1007/s12187-018-9593-9
Publikováno v:
Coefficient of Variation and Machine Learning Applications ISBN: 9780429296185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6904cf87fde543ca910b4bf5bae425
https://doi.org/10.1201/9780429296185-5
https://doi.org/10.1201/9780429296185-5
Publikováno v:
Coefficient of Variation and Machine Learning Applications ISBN: 9780429296185
Coefficient of Variation and Machine Learning Applications
Coefficient of Variation and Machine Learning Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3a090ff370bcb7c7a980dd56117066b
https://doi.org/10.1201/9780429296185-1
https://doi.org/10.1201/9780429296185-1
Publikováno v:
Coefficient of Variation and Machine Learning Applications ISBN: 9780429296185
Coefficient of Variation and Machine Learning Applications
Coefficient of Variation and Machine Learning Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34726f7a19bb3b7b503d5807792c7bcb
https://doi.org/10.1201/9780429296185-2
https://doi.org/10.1201/9780429296185-2
Publikováno v:
Coefficient of Variation and Machine Learning Applications ISBN: 9780429296185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2968e7b85b6192d6daae89dd57f3cae0
https://doi.org/10.1201/9780429296185-4
https://doi.org/10.1201/9780429296185-4
Publikováno v:
Coefficient of Variation and Machine Learning Applications ISBN: 9780429296185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b4915f40c2926eb011c316a3f12877c
https://doi.org/10.1201/9780429296185-3
https://doi.org/10.1201/9780429296185-3
Publikováno v:
SOSE
Cloud Service Providers (CSPs) offer a wide variety of scalable, flexible, and cost-efficient services to cloud users on demand and pay-per-utilization basis. However, vast diversity in available cloud service providers leads to numerous challenges f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed1e1d08e63c72f306cf0a8bfba7dc6
https://doi.org/10.1109/sose.2019.00033
https://doi.org/10.1109/sose.2019.00033
Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, prop