Search Results - ONLINE ALGORITHMS

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    Research on Sentiment Classification Algorithms on Online Review by Ruixia Yan, Zhijie Xia, Yanxi Xie, Xiaoli Wang, Zukang Song

    Published in Complexity (2020-01-01)
    “…The results present that neural network algorithm is effective in the sentiment classification of product online review corpus.…”
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    Article
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    On the Advice Complexity of Online Matching on the Line by Béla Csaba, Judit Nagy-György

    “…We give a 1-competitive online algorithm with advice complexity $n-1,$ and show that there is no 1-competitive online algorithm reading less than $n-1$ bits of advice. …”
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    Folk Theories of Online Dating: Exploring People’s Beliefs About the Online Dating Process and Online Dating Algorithms by Sabrina Angela Huang, Jeffrey Hancock, Stephanie Tom Tong

    Published in Social Media + Society (2022-04-01)
    “…How do online daters come to understand and make sense of their online dating experiences and the algorithms that underlie online dating platforms? …”
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    EFH:an online unsupervised hash learning algorithm by Zhenyu SHOU, Jiangbo QIAN, Yihong DONG, Huahui CHEN

    Published in Dianxin kexue (2020-03-01)
    “…Many unsupervised learning to hash algorithm needs to load all data to memory in the training phase,which will occupy a large memory space and cannot be applied to streaming data.An unsupervised online learning to hash algorithm called evolutionary forest hash (EFH) was proposed.In a large-scale data retrieval scenario,the improved evolution tree can be used to learn the spatial topology of the data.A path coding strategy was proposed to map leaf nodes to similarity-preserved binary code.To further improve the querying performance,ensemble learning was combined,and an online evolving forest hashing method was proposed based on the evolving trees.Finally,the feasibility of this method was proved by experiments on two widely used data sets.…”
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    Article
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    EFH:an online unsupervised hash learning algorithm by Zhenyu SHOU, Jiangbo QIAN, Yihong DONG, Huahui CHEN

    Published in Dianxin kexue (2020-03-01)
    “…Many unsupervised learning to hash algorithm needs to load all data to memory in the training phase,which will occupy a large memory space and cannot be applied to streaming data.An unsupervised online learning to hash algorithm called evolutionary forest hash (EFH) was proposed.In a large-scale data retrieval scenario,the improved evolution tree can be used to learn the spatial topology of the data.A path coding strategy was proposed to map leaf nodes to similarity-preserved binary code.To further improve the querying performance,ensemble learning was combined,and an online evolving forest hashing method was proposed based on the evolving trees.Finally,the feasibility of this method was proved by experiments on two widely used data sets.…”
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    Article
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    RACE ALGORITHM: ONLINE-MARKETING MODEL PLATFORM by Inessa Penkova, Irina Glazkova

    “…The article is aimed at revealing the features of the RACE-model as a model platform for optimizing the online marketing effectiveness. Achieving this goal requires solving two tasks. …”
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    An online self-adaptive RBF network algorithm based on the Levenberg-Marquardt algorithm by ZhaoZhao Zhang, Yue Liu, YingQin Zhu, XiaoFei Zhao

    Published in Applied Artificial Intelligence (2022-12-01)
    “…Aiming at the problem that the Levenberg-Marquardt (LM) algorithm can not train online radial basis function (RBF) neural network and the deficiency in the RBF network structure design methods, this paper proposes an online self-adaptive algorithm for constructing RBF neural network (OSA-RBFNN) based on LM algorithm. …”
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    ALGORITHMS AND FUNDAMENTAL RIGHTS: THE CASE OF AUTOMATED ONLINE FILTERS by Matija Damjan

    “…The information that we see on the internet is increasingly tailored by automated ranking and filtering algorithms used by online platforms, which significantly interfere with the exercise of fundamental rights online, particularly the freedom of expression and information. …”
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