Small-Data Modeling of Electromagnetic Structures via Compressed Vector-Valued Kernel Ridge Regression
This paper presents a data-efficient surrogate modeling framework for electromagnetic structures and components based on a compressed formulation of vector-valued kernel ridge regression (VV-KRR). The method is intended for small-data regimes, where training samples generated through full-wave or circuit simulations ar...