Weakly labeled data are noisier than manually labeled data, which might cause the classifier to be less generalizable due to overwhelming noisy features.
we perform feature selection by using the Bayesian Information Criterion (BIC) to reduce noise and improve the performance (Schwarz, 1978;Forman, 2003).