2 papers
cs.LG2023
Nonparametric active learning for cost-sensitive classification
Boris Ndjia Njike, Xavier Siebert
Cost-sensitive learning is a common type of machine learning problem where different errors of prediction incur different costs. In this paper, we design a generic nonparametric ac…
math.ST2022
Active learning algorithm through the lens of rejection arguments
Christophe Denis, Mohamed Hebiri, Boris Ndjia Njike +1
Active learning is a paradigm of machine learning which aims at reducing the amount of labeled data needed to train a classifier. Its overall principle is to sequentially select th…