$L_0$ Regularization of Field-Aware Factorization Machine through Ising Model
<|reference_start|>$L_0$ Regularization of Field-Aware Factorization Machine through Ising Model: We examined the use of the Ising model as an $L_0$ regularization method for field-aware factorization machines (FFM). This approach improves generalization performance and has the advantage of simultaneously determining the best feature combinations for each of several groups. We can deepen the interpretation and understanding of the model from the similarities and differences in the features selected in each group.<|reference_end|>
@article{okamoto2024$l_0$,
    title={$L_0$ Regularization of Field-Aware Factorization Machine through Ising
  Model},
    author={Yasuharu Okamoto (1,2) ((1) Secure System Platform Research
  Laboratories, NEC Corporation, Nakahara-ku, Kawasaki, Kanagawa, Japan, (2)
  NEC-AIST Quantum Technology Cooperative Research Laboratories, Tsukuba,
  Ibaraki, Japan)},
    journal={arXiv preprint arXiv:2403.01718},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.01718},
    primaryClass={cs.LG cond-mat.dis-nn}
}