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    Blind equalization algorithm based on complex support vector regression by Ling YANG, Liang CHEN, Bin ZHAO, Guolong ZHANG, Yuan LI

    Published 2019-10-01
    Subjects: “…complex support vector regression…”
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    Caudal Regression and Encephalocele: Rare Manifestations of Expanded Goldenhar Complex by Gabriella D’Angelo, Lucia Marseglia, Salvatore Aversa, Sara Manti, Caterina Cuppari, Mariaconcetta Cutrupi, Carmelo Salpietro, Eloisa Gitto

    Published 2017-01-01
    “…Its expressivity is variable; therefore, the term “expanded Goldenhar complex” has been coined. The Goldenhar Syndrome usually involves anomalies in craniofacial structures, but it is known that nervous system anomalies, including encephalocele or caudal regression, may, rarely, occur in this condition. …”
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    Bandwidth Selection in Geographically Weighted Regression Models via Information Complexity Criteria by Tuba Koç

    Published 2022-01-01
    “…The geographically weighted regression (GWR) model is a local spatial regression technique used to determine and map spatial variations in the relationships between variables. …”
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    Evaluation of Bayesian Linear Regression derived gene set test methods by Zhonghao Bai, Tahereh Gholipourshahraki, Merina Shrestha, Astrid Hjelholt, Sile Hu, Mads Kjolby, Palle Duun Rohde, Peter Sørensen

    Published 2024-12-01
    “…Results Our goal was to develop a gene set test utilizing Bayesian Linear Regression (BLR) models, which account for both linkage disequilibrium (LD) and the complex genetic architectures intrinsic to diseases, thereby increasing the detection power of genetic associations. …”
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    Impact of geopolitical risks on resilience of lithium resource trade network: Based on complex network and panel regression analysis by ZHANG Yijun, BAI Wenbo, SONG Yi, CHEN Wu

    Published 2025-07-01
    “…[Methods] Based on trade data for lithium hydroxide and lithium carbonate from 22 countries (regions) from 2002 to 2022, this study explored the impact of geopolitical risks on the resilience of lithium resource trade network using a complex network method and a panel regression model. …”
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    Predictive Modeling of Software Team Performance based on Gender and Task Complexity using Logistic Regression and Decision Tree by Mazni Omar, Ruqaya Gilal, Mawarny Md Rejab, Abdul Rehman Gilal, Abdullah Almogahed, Nurhanifah Nurhanifah

    Published 2025-04-01
    “… This paper investigates the effect of gender and task complexity on software development performance, addressing a critical gap in empirical research and predictive modelling that warrants further investigation. …”
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    The Interpretative Effects of Normalization Techniques on Complex Regression Modeling: An Application to Real Estate Values Using Machine Learning by Debora Anelli, Pierluigi Morano, Francesco Tajani, Maria Rosaria Guarini

    Published 2025-06-01
    “…This study analyzes how normalization techniques influence the outcomes of real estate price regression models using machine learning to uncover complex relationships between urban and economic factors. …”
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    Online Three-Dimensional Fuzzy Multi-Output Support Vector Regression Learning Modeling for Complex Distributed Parameter Systems by Gang Zhou, Xianxia Zhang, Hanyu Yuan, Bing Wang

    Published 2025-03-01
    “…Complex distributed parameter systems (DPSs) are prevalent in numerous industrial processes. …”
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    Does Insurance Sector Matter for Economic Complexity? by Folorunsho M. Ajide, Tolulope T. Osinubi, Titus A. Ojeyinka

    Published 2023-12-01
    “…The results based on pooled mean group (PMG) estimators reveal that the insurance sector influences economic complexity positively. This finding is further substantiated after employing panel co-integrating regression and method of moment quantile regression (MM-QR). …”
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    ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling by Soosan Beheshti, Mahdi Shamsi

    Published 2025-01-01
    “…The hypothesis is chosen from classes with potentially different complexities. Linear regression modeling is an important category of learning algorithms. …”
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