Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Shin, Kilho"'
Publikováno v:
Algorithms 15(7), Article number 229, 2022
For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let $D$, $F$, and $C$ be data, feature, and class sets, respectively, where the feature value $x(F_i)$ and the class label $x(C)$ are given for each $x\in D$ and
Externí odkaz:
http://arxiv.org/abs/2110.05088
Quantization of weights of deep neural networks (DNN) has proven to be an effective solution for the purpose of implementing DNNs on edge devices such as mobiles, ASICs and FPGAs, because they have no sufficient resources to support computation invol
Externí odkaz:
http://arxiv.org/abs/1912.09236
Autor:
Yoshimoto, Yohei, Kataoka, Masaharu, Takabatake, Yoshimasa, I, Tomohiro, Shin, Kilho, Sakamoto, Hiroshi
We consider an efficient two-party protocol for securely computing the similarity of strings w.r.t. an extended edit distance measure. Here, two parties possessing strings $x$ and $y$, respectively, want to jointly compute an approximate value for $\
Externí odkaz:
http://arxiv.org/abs/1911.10719
Autor:
Al-Shammari, Marwan1 (AUTHOR), Shin, Kilho2 (AUTHOR) kshin@niagara.edu, Byun, Kyung-Ah1 (AUTHOR)
Publikováno v:
Quality Management Journal. 2024, Vol. 31 Issue 3, p185-197. 13p.
Autor:
Pérez‐Nordtvedt, Liliana1 (AUTHOR) lnordtvedt@uta.edu, Shin, Kilho2 (AUTHOR), Lee, Joohan3 (AUTHOR)
Publikováno v:
Journal of Management Studies (John Wiley & Sons, Inc.). Sep2023, Vol. 60 Issue 6, p1549-1583. 35p.
Autor:
Shin, Kilho, Pérez-Nordtvedt, Liliana
Publikováno v:
Journal of Knowledge Management, 2020, Vol. 24, Issue 9, pp. 2035-2055.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JKM-04-2020-0287
Akademický článek
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Autor:
Shin, Kilho1 (AUTHOR) kshin@niagara.edu, Singh, Nitin Kumar2 (AUTHOR) nsingh1@missouriwestern.edu, Pérez-Nordtvedt, Liliana3 (AUTHOR) lnordtvedt@uta.edu
Publikováno v:
Entrepreneurship Research Journal. Jan2023, Vol. 13 Issue 1, p99-130. 32p.
Autor:
Shin, Kilho, Okumoto, Kenta, Shepard, David Lawrence, Kusaba, Akira, Hashimoto, Takako, Amari, Jorge, Murota, Keisuke, Takai, Junnosuke, Kuboyama, Tetsuji, Ohshima, Hiroaki
Publikováno v:
Agents and Artificial Intelligence
The problem of feature selection has been an area of considerable research in machine learning. Feature selection is known to be particularly difficult in unsupervised learning because different subgroups of features can yield useful insights into th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::ee9447292c469a6b58f53de432faa139
http://europepmc.org/articles/PMC7972724
http://europepmc.org/articles/PMC7972724
Akademický článek
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