Showing 1 - 20 results of 3,568 for search '(score OR share) function (general OR generated)', query time: 0.22s Refine Results
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    SliceScore: A Network Function Sharing Aware and Slice-Oriented DDoS Filtering Approach by Omer Zekvan Yilmaz, Kubra Kalkan, Fatih Alagoz

    Published 2025-01-01
    “…Recently, network function (NF) sharing has been proposed in the literature in order to further exploit unused resources and lower the costs for network operators. …”
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    Generalized Propensity Score Matching with Multilevel Treatment Options by Onur Baser

    Published 2013-03-01
    “…Results are compared with multivariate regression analysis, where the generalized linear model is used with gamma family and log link function…”
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    Enhancing the secrecy of a cryptographic key generated using synchronized artificial neural networks1 by M. L. Radziukevich, V. F. Golikov

    Published 2020-03-01
    “…To solve the problem of increasing the    confidentiality of the generated shared secret, if it is used as a cryptographic key, it is proposed to use the  mixing a certain number of results of individual synchronizations (convolution). …”
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    Generalized Score Comparison-Based Learning Objective for Deep Speaker Embedding by Min Hyun Han, Sung Hwan Mun, Nam Soo Kim

    Published 2025-01-01
    “…Furthermore, we propose a generalized loss function for score comparison-based learning, encompassing many conventional training losses and regularization techniques. …”
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    Uniqueness of Meromorphic Functions With Nonlinear Differential Polynomials Sharing a Small Function IM by H. R. Jayarama, S. S. Bhoosnurmath, C. N. Chaithra, S. H. Naveenkumar

    Published 2023-12-01
    “…Additionally, for two distinct meromorphic functions $f$ and $g$, both of finite order, if the differential-difference polynomials $[f^{n}f(z+c)]^{(k)}$\ and\ $[g^{n}g(z+c)]^{(k)}$ share the value $1$ in the same set, then $f(z)=c_1e^{dz},$ $g(z)=c_2e^{-dz}.$ We prove two results, which significantly generalize the results of Dyavanal and Mathai (Ukrainian Math. …”
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    Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

    Published 2024-10-01
    “…Molecular property prediction is one such research area that is characterized by sparse datasets of many functions on a shared molecular space. In this paper, we study the application of graph NPs to molecular property prediction with DOCKSTRING, a diverse dataset of docking scores. …”
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    Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

    Published 2025-05-01
    “…Among these, the BDe scoring function requires specifying hyperparameters that influence the priors on the network parameters. …”
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    A new result for entire functions and their shifts with two shared values by Xu Aizhu, Lin Peiqiang, Chen Shengjiang

    Published 2025-04-01
    “…Let ff be a transcendental entire function of hyperorder strictly less than 1, and let cc be a nonzero finite complex number. …”
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    Joint Cognition: Thought Contagion and the Consequences of Cooperation when Sharing the Task of Random Sequence Generation. by John Nicholas Towse, Andrea Sarah Towse, Satoru Saito, Yukio Maehara, Akira Miyake

    Published 2016-01-01
    “…Generating random number sequences is a popular psychological task often used to measure executive functioning. …”
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    Research on privacy data security sharing scheme based on blockchain and function encryption by Yi LI, Jinsong WANG, Hongwei ZHANG

    Published 2022-09-01
    “…Blockchain technology has provided new ideas for data validation, data traceability, data trustworthiness, and data availability in data sharing, but privacy data security in data sharing still faces many challenges.Firstly, the current status of blockchain-based data sharing research was reviewed.Then a secure sharing model of privacy data was proposed.By encrypting the privacy data through function cryptography, and generating the proof of computational correctness through zero-knowledge proof technology, a secure and reliable data sharing with “data available but not visible” was realized.The experimental results show that the sharing delay and economic overhead of the model are within the acceptable range, which demonstrates the security and feasibility of the model.…”
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    Blockchain-Based Modified AES with Chaotic Random Key Generation for Secured E-Medical Data Sharing by Vinothkumar.M, R. Saravana Ram

    Published 2025-04-01
    “…Though traditional methods have used algorithms based on these concepts for secured EMD sharing, they lacked with regard for privacy and security. …”
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