Nowadays, many real-world applications of our daily life generate massive volume of
streaming data at a higher speed than ever before, to name a few, Web clicking data …

High availability of information technology (IT)-applications and-infrastructure components is
a significant factor for the success of organizations because more and more business …

Multi-label classification assigns multiple labels to each document concurrently. Many real-
world classification problems tend to employ high-dimensional label spaces, which can be …

The human mind grows in learning new knowledge, which finally organizes and develops a
basic mental pattern called cognitive structure. Hierarchical multi-label text classification …

Multi-label classification has been successfully applied to image annotation, information
retrieval, text categorization, etc. When the number of classes increases significantly, the …

The discovery of discriminative patterns from high-dimensional data offers the possibility to
learn from informative subspaces and pattern-centric features, paving the way to associative …

To support large-scale visual recognition (ie, recognizing thousands or even tens of
thousands of object classes), a multi-level deep learning algorithm is developed to learn …

Multi-label text classification is an increasingly important field as large amounts of text data
are available and extracting relevant information is important in many application contexts …

Brain-computer interface (BCI) is an alternative communication pathway between the human
brain and computer system without involving any muscles or actual motor neuron activities …

Traditional machine learning methods have certain limitations in constructing high-precision
estimation models and improving generalization ability, but ensemble learning that …