Scalable Kernel Logistic Regression with Nyström Approximation: Theoretical Analysis and Application to Discrete Choice Modelling

José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez +1

The application of kernel-based Machine Learning (ML) techniques to discrete choice modelling using large datasets often faces challenges due to memory requirements and the conside…