In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
The main aim of this paper is to investigate how the production-rule-based computational paradigm can be implemented through visual data-flow techniques. We propose a simple yet e...