Investigation of outlier detection algorithm by Vydūnas Šaltenis

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The properties of nonuniformity analysis of high dimensional data by Vydūnas Šaltenis

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Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model by Mingquan Wang, Xiaohua Ma, Xinrui Wang, Jun Wang, Xiuqing Zhou, Qibing Gao

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Correlation-based feature selection of single cell transcriptomics data from multiple sources by Nenad S. Mitić, Saša N. Malkov, Mirjana M. Maljković Ružičić, Aleksandar N. Veljković, Ivan Lj. Čukić, Xin Lin, Minjie Lyu, Vladimir Brusić

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Random k conditional nearest neighbor for high-dimensional data by Jiaxuan Lu, Hyukjun Gweon

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Sampling with Prior Knowledge for High-dimensional Gravitational Wave Data Analysis by He Wang, Zhoujian Cao, Yue Zhou, Zong-Kuan Guo, Zhixiang Ren

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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

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Nearest neighbor search algorithm for high dimensional data based on weighted self-taught hashing by Cong PENG, Jiangbo QIAN, Huahui CHEN, Yihong DONG

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High-dimensional outlier detection based on deep belief network and linear one-class SVM by Haoqi LI, Na YING, Chunsheng GUO, Jinhua WANG

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Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach by Jin Zhang, Fu Yan, Jianqiang Yang

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Feature Selection with Graph Mining Technology by Thosini Bamunu Mudiyanselage, Yanqing Zhang

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Test of the Equality of Several High-Dimensional Covariance Matrices: A Normal-Reference Approach by Jingyi Wang, Tianming Zhu, Jin-Ting Zhang

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