We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
This paper deals with a new iterative Network Anomaly Detection Algorithm – NADA, which accomplishes the detection, classification and identification of traffic anomalies. NADA f...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
Abstract. State-based systems and modal logics for reasoning about them often heterogeneously combine a number of features such as non-determinism and probabilities. Here, we show ...