Zobrazeno 1 - 10
of 28
pro vyhledávání: '"He, Guanlin"'
Noisy marginals are a common form of confidentiality-protecting data release and are useful for many downstream tasks such as contingency table analysis, construction of Bayesian networks, and even synthetic data generation. Privacy mechanisms that p
Externí odkaz:
http://arxiv.org/abs/2305.08175
Publikováno v:
In Journal of Ethnopharmacology 5 December 2023 317
Publikováno v:
In International Journal of Thermal Sciences February 2022 172 Part B
Autor:
Luo, Zecheng, Li, Zihao, Liang, Zheng, Wang, Lin, He, Guanlin, Wang, Dongdi, Shen, Lei, Wang, Zhengting, Ma, Xiuying, Geng, Funeng, Wang, Haozhong, Liu, Wenping, Liu, Huijuan, Li, Baojie
Additional file 1: Table S1. Primer sequences used in the study. Fig. S1. Determining the optimal dose of BBR or SASP on colitis treatment. Fig. S2. Comparison of BBR and SASP on colitis after DSS withdrawal. Fig. S3. Gene expression profiling of rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b20097f532a89b5fd9e5bb376267953c
Autor:
Luo, Zecheng, Li, Zihao, Liang, Zheng, Wang, Lin, He, Guanlin, Wang, Dongdi, Shen, Lei, Wang, Zhengting, Ma, Xiuying, Geng, Funeng, Wang, Haozhong, Liu, Wenping, Liu, Huijuan, Li, Baojie
Additional file 2. Original gels and blots.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e0048fe5fa36ccb186e122d03b11511
Autor:
He, Guanlin
Publikováno v:
Data Structures and Algorithms [cs.DS]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG062⟩
Clustering, which aims at achieving natural groupings of data, is a fundamental and challenging task in machine learning and data mining. Numerous clustering methods have been proposed in the past, among which k-means is one of the most famous and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::b404e0d96eb70c581dfc6955a5bfa8a5
https://theses.hal.science/tel-04114475/document
https://theses.hal.science/tel-04114475/document
Autor:
Luo, Zecheng, Li, Zihao, Liang, Zheng, Wang, Lin, He, Guanlin, Wang, Dongdi, Shen, Lei, Wang, Zhengting, Ma, Xiuying, Geng, Funeng, Wang, Haozhong, Liu, Wenping, Liu, Huijuan, Li, Baojie
Publikováno v:
BMC Biology; 12/17/2022, Vol. 20 Issue 1, p1-19, 19p
Publikováno v:
Concurrency & Computation: Practice & Experience; 6/25/2022, Vol. 34 Issue 14, p1-19, 19p
Publikováno v:
HeteroPar Workshop of 2020 Euro-Par International Conference
HeteroPar Workshop of 2020 Euro-Par International Conference, Aug 2020, Warsaw, Poland
HeteroPar Workshop of 2020 Euro-Par International Conference, Aug 2020, Warsaw, Poland
International audience; k-means is a standard algorithm for clustering data. It constitutes generally the final step in a more complex chain of high quality spectral clustering. However this chain suffers from lack of scalability when addressing larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::42e62bb7ecb0f2931d743b7595f2363f
https://hal.archives-ouvertes.fr/hal-02985021
https://hal.archives-ouvertes.fr/hal-02985021
Publikováno v:
Procedia - Social and Behavioral Sciences. 46:1358-1364
The purpose of this study is to investigate teachers’ attitudes towards the use of ICT in the classroom. One hundred and seventy in-service teachers from kindergarten to high school participated in the study. A 154-item survey was elaborated (Cronb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70c57a04f2a32d055b88dafd685813c
https://doi.org/10.1016/j.sbspro.2012.05.302
https://doi.org/10.1016/j.sbspro.2012.05.302