Feature selection aims to gain relevant features for improved classification performance and
remove redundant features for reduced computational cost. How to balance these two …

This paper presents a new concept based on wavelet design and machine learning applied
to nonintrusive load monitoring. The wavelet coefficients of length-6 filter are determined …

This paper presents a new approach based on semi-supervised machine learning and
wavelet design applied to non-intrusive load monitoring. Co-training of two machine …

Cognitive radio is regarded as a potential solution to address the spectrum scarcity issue in
wireless communication. In CR, an unlicensed network user (secondary user) is enabled to …

Co-training, extended from self-training, is one of the frameworks for semi-supervised
learning. Without natural split of features, single-view co-training works at the cost of training …

Semi-supervised classification methods have received much attention as suitable tools to
tackle training sets with large amounts of unlabeled data and a small quantity of labeled …