A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining,...
This paper introduces action refinement in the context of CSP B. Our motivation to include this notion of refinement within the CSP B framework is the desire to increase flexibilit...
This paper proposes a simple yet new and effective framework by combining generative model and discriminative model for natural scene categorization. A state-of-the-art approach f...
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...
Development of computerized embedded control systems is difficult because it brings together systems theory, electrical engineering and computer science. The engineering and analys...
Marcel Verhoef, Peter Visser, Jozef Hooman, Jan F....