Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zach D. Merino"'
Publikováno v:
Algorithms, Vol 16, Iss 7, p 310 (2023)
We present a novel nonparametric adaptive partitioning and stitching (NAPS) algorithm to estimate a probability density function (PDF) of a single variable. Sampled data is partitioned into blocks using a branching tree algorithm that minimizes devia
Externí odkaz:
https://doaj.org/article/ea66f92d93b14efe8b7c53297f277081
Publikováno v:
Algorithms; Volume 16; Issue 7; Pages: 310
We present a novel nonparametric adaptive partitioning and stitching (NAPS) algorithm to estimate a probability density function (PDF) of a single variable. Sampled data is partitioned into blocks using a branching tree algorithm that minimizes devia
Publikováno v:
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures.
Autor:
Merino, Zach D.1,2 (AUTHOR) zmerino@uwaterloo.ca, Farmer, Jenny3 (AUTHOR) jfarmer6@charlotte.edu, Jacobs, Donald J.2 (AUTHOR) djacobs1@charlotte.edu
Publikováno v:
Algorithms. Jul2023, Vol. 16 Issue 7, p310. 30p.
Autor:
Merino, Zach D, Jaics, Gyorgy, Jordan, Andrew W M, Shetty, Arjun, Yin, Penghui, Tam, Man C, Wang, Xinning, Wasilewski, Zbig R, Radovanovic, Pavle V, Baugh, Jonathan
Publikováno v:
Nanotechnology; 1/6/2025, Vol. 36 Issue 1, p1-12, 12p