2 papers
cond-mat.mtrl-sci2025
Downsizing Machine Learning Models by Optimization through Ising Models
Yasuharu Okamoto
This paper introduces a technique to enhance the efficiency of quadratic machine learning models, particularly Field-Aware Factorization Machines (FFMs) handling binary data. Our a…
cs.LG2024
Regularization of Field-Aware Factorization Machine through Ising Model
Yasuharu Okamoto
We examined the use of the Ising model as an regularization method for field-aware factorization machines (FFM). This approach improves generalization performance and has the…