Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Zhu, Yaojia"'
Publikováno v:
In Science of the Total Environment 1 October 2024 945
Publikováno v:
In Science of the Total Environment 20 October 2023 896
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
Externí odkaz:
http://arxiv.org/abs/1808.07251
Autor:
Zhu, Yaojia, Wang, Zhiyin, Song, Li, Christakos, George, Agusti, Susana, Duarte, Carlos, Wu, Jiaping
Publikováno v:
In Estuarine, Coastal and Shelf Science 31 October 2022 277
Publikováno v:
In Applied Soil Ecology September 2022 177
Autor:
Zhu, Yaojia, Christakos, George, Wang, Hengwei, Jin, Runjie, Wang, Zhiyin, Li, Dan, Liu, Yuxuan, Xiao, Xi, Wu, Jiaping
Publikováno v:
In Marine Pollution Bulletin January 2022 174
Publikováno v:
Proc. 19th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2013, 473-481
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:
http://arxiv.org/abs/1303.7264
Autor:
Yan, Xiaoran, Shalizi, Cosma Rohilla, Jensen, Jacob E., Krzakala, Florent, Moore, Cristopher, Zdeborova, Lenka, Zhang, Pan, Zhu, Yaojia
Publikováno v:
J. Stat. Mech. (2014) P05007
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:
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:
http://arxiv.org/abs/1205.7009
In many real-world networks, nodes have class labels, attributes, or variables that affect the network's topology. If the topology of the network is known but the labels of the nodes are hidden, we would like to select a small subset of nodes such th
Externí odkaz:
http://arxiv.org/abs/1109.3240