改进的噪声鲁棒性学习方法：克服类别依赖性限制

However, this method is limited by the assumption of 'category dependence' and cannot be applied to 'sample-dependent' noisy data. Additionally, its effectiveness relies on accurate estimation of the posterior probability of noise, and when the estimation is inaccurate, the algorithm's performance is compromised. Building upon this method, we have improved and extended it to form a new approach. The new approach retains structural simplicity while being applicable to various types of noise, no longer limited to 'category-dependent' noise.