Abstract: Concept-cognitive learning (CCL) is a paradigm that simulates human concept learning by processing given cues through specific cognitive models. However, existing CCL models face significant ...

Abstract: Learning from data streams originating from non-stationary environments is vital for many real-world applications. A notable challenge in this task is concept drift. Most existing methods ...

Mind maps show how visual structure connects ideas and establishes relationships between complex topics. Mind map examples highlight how layout, hierarchy, and color choices influence focus and ...

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...