Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Xu, Yekun"'
Publikováno v:
International Journal of Manpower, 2023, Vol. 44, Issue 8, pp. 1571-1586.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJM-11-2022-0550
A classical result of Rothschild and van Lint asserts that if every non-zero Fourier coefficient of a Boolean function $f$ over $\mathbb{F}_2^{n}$ has the same absolute value, namely $|\hat{f}(\alpha)|=1/2^k$ for every $\alpha$ in the Fourier support
Externí odkaz:
http://arxiv.org/abs/2103.16811
Autor:
Chen, Daniel, Xu, Yekun, Baheri, Betis, Stein, Samuel A., Bi, Chuan, Mao, Ying, Quan, Qiang, Xu, Shuai
Recently, there has been a surge of interest for quantum computation for its ability to exponentially speed up algorithms, including machine learning algorithms. However, Tang suggested that the exponential speed up can also be done on a classical co
Externí odkaz:
http://arxiv.org/abs/2012.00824
This paper presents a sublinear classical algorithm for principal component regression. The algorithm uses quantum-inspired linear algebra, an idea developed by Tang. Using this technique, her algorithm for recommendation systems achieved runtime onl
Externí odkaz:
http://arxiv.org/abs/2010.08626
Publikováno v:
In Theoretical Computer Science 26 April 2023 955
Publikováno v:
In Finance Research Letters March 2023 52
Given $n$ vectors $x_0, x_1, \ldots, x_{n-1}$ in $\{0,1\}^{m}$, how to find two vectors whose pairwise Hamming distance is minimum? This problem is known as the \emph{Closest Pair Problem}. If these vectors are generated uniformly at random except tw
Externí odkaz:
http://arxiv.org/abs/1802.09104
Publikováno v:
In Journal of Business Research May 2021 128:728-741
Publikováno v:
In Journal of Business Research January 2020 108:105-118
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.