Editors, Aims & Scope
Unsupervised non-parametric kernel learning algorithm
2-Tuple linguistic harmonic operators and their applications in group decision making
Ranking and selection of unsupervised learning marketing segmentation
Bi-level programming based real-time path planning for unmanned aerial vehicles
Closeness Preference – A new interestingness measure for sequential rules mining
Bi-objective feature selection for discriminant analysis in two-class classification
Confirmation measures of association rule interestingness
Differential evolution with local information for neuro-fuzzy systems optimisation
An accelerator for attribute reduction based on perspective of objects and attributes
Multiscale edge detection based on Gaussian smoothing and edge tracking
Knowledge acquisition based on learning of maximal structure fuzzy rules
Combining active learning and semi-supervised learning to construct SVM classifier
Corrigendum to “Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace” [Knowl.-Based Syst. 36 (2012) 280–287]