Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Yaojia Zhu"'
Autor:
Kyaw Thura, Oscar Serrano, Jiali Gu, Yunying Fang, Hein Zar Htwe, Yaojia Zhu, Runqiu Huang, Susana Agusti, Carlos M. Duarte, Hailong Wang, Jiaping Wu
Publikováno v:
Journal of Soils and Sediments. 23:1193-1203
Autor:
Saima Sultana, Runqiu Huang, Yaojia Zhu, Kyaw Thura, Hein Zar Htwe, Li Song, Runjie Jin, Jiali Gu, George Christakos, Jiaping Wu
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 36:3753-3767
Autor:
Yaojia Zhu, Zhiyin Wang, Li Song, George Christakos, Susana Agusti, Carlos Duarte, Jiaping Wu
Publikováno v:
Estuarine, Coastal and Shelf Science. 277:108063
Publikováno v:
Applied Soil Ecology. 177:104544
Autor:
Jiaping Wu, Runjie Jin, Xi Xiao, Hengwei Wang, Zhiyin Wang, Yaojia Zhu, Dan Li, George Christakos, Yuxuan Liu
Publikováno v:
Marine Pollution Bulletin. 174:113155
This study compared the ability of Sargassum fusiforme to accumulate As, Cd, Cr, Cu, Ni, Pb and Zn in its five tissues (main branch, lateral branch, leaf, receptacles and pneumathode). The concentrations of these trace elements in seawater, surface s
Publikováno v:
WSDM
In this paper, we propose an offline counterfactual policy estimation framework called Genie to optimize Sponsored Search Marketplace. Genie employs an open box simulation engine with click calibration model to compute the KPI impact of any modificat
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 390:4459-4465
This paper presents an improved extremal optimization (IEO) algorithm for solving the asymmetric traveling salesman problem (ATSP). At each update step, the IEO algorithm proceeds through two main steps: extremal dynamics and cooperative optimization
Publikováno v:
KDD
Many data sets contain rich information about objects, as well as pairwise relations between them. For instance, in networks of websites, scientific papers, and other documents, each node has content consisting of a collection of words, as well as hy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::487446a0ade8fd537c284e1c38a0f48e
Autor:
Lenka Zdeborová, Yaojia Zhu, Jacob E. Jensen, Cosma Rohilla Shalizi, Pan Zhang, Cristopher Moore, Xiaoran Yan, Florent Krzakala
The proliferation of models for networks raises challenging problems of model selection: the data are sparse and globally dependent, and models are typically high-dimensional and have large numbers of latent variables. Together, these issues mean tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4227466deebd649c5dd88c362f025d08
http://arxiv.org/abs/1207.3994
http://arxiv.org/abs/1207.3994
The stochastic block model is a powerful tool for inferring community structure from network topology. However, it predicts a Poisson degree distribution within each community, while most real-world networks have a heavy-tailed degree distribution. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6d3d6dcb94414ea050363650850d3f6