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A Scalable Operator-Valued Kernel Learning Framework for Continuous Multi-Way Regression
Continuous multi-way data arise in applications such as climate modeling, neuroimaging, and multimedia analytics, where both covariates and responses are indexed over structured spatial or temporal continuous domains. Existing methods discretize such data as fixed-grid arrays and use tensor regressi
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