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多重混合线性张量模型及其参数估计 被引量:6

Multivariate mixed linear tensor models and their parameter estimation
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摘要 首先定义低阶张量乘法和4阶张量的逆,考察4阶张量的可逆条件及其Tucker分解,引入多重混合线性张量(MMLT)模型,最后结合张量CP分解和Tucker分解给出MMT模型的最优参数估计。 We first defined the low order tensor multiplication and the inverse of a 4-order hypercubic tensor, and investigated the condition for a 4-order tensor to be invertible and the Tucker decomposition of a 4^th order tensor. Then we introduced a multivariate mixed tensor (MMLT) model. Finally,the parameter estimation of a multivariate linear mixed tensor model was given by the CP decomposition and Tucker decomposition of the design tensor of the model.
出处 《苏州科技大学学报(自然科学版)》 CAS 2017年第1期42-48,共7页 Journal of Suzhou University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金重大项目(61190114/F0102) 香港政府研究基金项目(Poly U 501212 501913 15302114 15302115)
关键词 张量 奇异值分解 主成分分析 MMT模型 核心张量切片法 tensor SVD PCA MMT model kernel tensor slicing
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