الملخص
Modern machine learning depends heavily on massive datasets, but obtaining high-quality annotations at scale is often expensive. As a result, learning from noisily-labeled data has become common, making accurate estimation of the label-noise transition matrix crucial. However, existing transition matrix estimators rely on the fragile estimation of class-posteriors and do not provide finite-sample performance guarantees. In this work, we propose a novel methodology to estimate the transition matrix based on one-sided selective classification. This approach bypasses class-posterior estimation, provides finite-sample performance guarantees, and leverages flexible learning methods for binary classification. Moreover, we introduce effective algorithms to implement the proposed methodology and provide their refined finite-sample performance bounds.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
de Juan, X., Mazuelas, S., Zhu, Y., & Scott, C. (2026). Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification. https://omanscience.com/ar/articles/estimation-of-the-label-noise-transition-matrix-with-performance-guarantees-via-selective-classification
MLA 9
de Juan, Xabier, et al. "Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification." https://omanscience.com/ar/articles/estimation-of-the-label-noise-transition-matrix-with-performance-guarantees-via-selective-classification.
شيكاغو (المؤلف–التاريخ)
de Juan, Xabier, Santiago Mazuelas, Yilun Zhu, and Clayton Scott. 2026. "Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification." https://omanscience.com/ar/articles/estimation-of-the-label-noise-transition-matrix-with-performance-guarantees-via-selective-classification.
هارفارد
de Juan, X., Mazuelas, S., Zhu, Y. and Scott, C. (2026) 'Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification', Available at: https://omanscience.com/ar/articles/estimation-of-the-label-noise-transition-matrix-with-performance-guarantees-via-selective-classification.
فانكوفر
de Juan X, Mazuelas S, Zhu Y, Scott C. Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification. https://omanscience.com/ar/articles/estimation-of-the-label-noise-transition-matrix-with-performance-guarantees-via-selective-classification
IEEE
X. de Juan, S. Mazuelas, Y. Zhu, and C. Scott, "Estimation of the Label-Noise Transition Matrix with Performance Guarantees via Selective Classification," https://omanscience.com/ar/articles/estimation-of-the-label-noise-transition-matrix-with-performance-guarantees-via-selective-classification.