Edwin Lughofer

Efficient sample selection in data stream regression employing evolving generalized fuzzy models

2015

In this paper, we propose two criteria for efficient sample selection in case of data stream regression problems. The selection becomes apparent whenever the target values, which guide the update of the regressors as well …

Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach

2021 · arXiv (Cornell University)

Unsupervised continual learning remains a relatively uncharted territory in the existing literature because the vast majority of existing works call for unlimited access of ground truth incurring expensive labelling cost. Another issue lies in the …