Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sarat Moka"'
Publikováno v:
Algorithms, Vol 15, Iss 10, p 354 (2022)
Variance-component models are an indispensable tool for statisticians wanting to capture both random and fixed model effects. They have applications in a wide range of scientific disciplines. While maximum likelihood estimation (MLE) is the most popu
Externí odkaz:
https://doaj.org/article/80f6e11de9cc4b1e89d82557f93fe026
Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language of mathematics. The book provides a self-contained background on machine learning and optimization algorithms and progresses throug
Autor:
Mathur, Anant1 (AUTHOR) anant.mathur@unsw.edu.au, Moka, Sarat2 (AUTHOR), Botev, Zdravko1 (AUTHOR) anant.mathur@unsw.edu.au
Publikováno v:
Algorithms. Oct2022, Vol. 15 Issue 10, pN.PAG-N.PAG. 20p.
Publikováno v:
Statistics & Computing; Apr2024, Vol. 34 Issue 2, p1-22, 22p
Publikováno v:
Advances in Applied Probability; Sep2021, Vol. 53 Issue 3, p839-885, 47p
Autor:
Warsi, Naqueeb Ahmad
Publikováno v:
2013 IEEE International Symposium on Information Theory; 2013, p3070-3074, 5p
Publikováno v:
ACM Transactions on Modeling & Computer Simulation; Nov2015, Vol. 25 Issue 4, p1-3, 3p
'The Open Access version of this book, available at https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003181590, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.'Geospatial information play
Autor:
Douglas Gray, Evan Shellshear
The field of artificial intelligence, data science, and analytics is crippling itself. Exaggerated promises of unrealistic technologies, simplifications of complex projects, and marketing hype are leading to an erosion of trust in one of our most cri
Autor:
Sutaip L.C. Saw
Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven