arXiv Open Access 2024

Asymptotic Bayes risk of semi-supervised learning with uncertain labeling

Victor Leger Romain Couillet
Lihat Sumber

Abstrak

This article considers a semi-supervised classification setting on a Gaussian mixture model, where the data is not labeled strictly as usual, but instead with uncertain labels. Our main aim is to compute the Bayes risk for this model. We compare the behavior of the Bayes risk and the best known algorithm for this model. This comparison eventually gives new insights over the algorithm.

Topik & Kata Kunci

Penulis (2)

V

Victor Leger

R

Romain Couillet

Format Sitasi

Leger, V., Couillet, R. (2024). Asymptotic Bayes risk of semi-supervised learning with uncertain labeling. https://arxiv.org/abs/2403.17767

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓