A systematic review on imbalanced data challenges in machine learning: Applications and solutions
In machine learning, the data imbalance imposes challenges to perform data analytics in
almost all areas of real-world research. The raw primary data often suffers from the skewed …
almost all areas of real-world research. The raw primary data often suffers from the skewed …
Comprehensive review on twin support vector machines
Twin support vector machine (TWSVM) and twin support vector regression (TSVR) are newly
emerging efficient machine learning techniques which offer promising solutions for …
emerging efficient machine learning techniques which offer promising solutions for …
MLTSVM: A novel twin support vector machine to multi-label learning
Multi-label learning paradigm, which aims at dealing with data associated with potential
multiple labels, has attracted a great deal of attention in machine intelligent community. In …
multiple labels, has attracted a great deal of attention in machine intelligent community. In …