A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables

5 July 2023

Papers citing "A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables"

3 / 3 papers shown

Title
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods Pascal Kündig Fabio Sigrist 21 0 0 14 May 2025
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods Andrej Tschalzev Paul Nitschke Lukas Kirchdorfer Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt 34 0 0 01 Jul 2024
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications Benjamin Avanzi G. Taylor Melantha Wang Bernard Wong 22 12 0 30 Jan 2023