In this paper, we present generic algorithms to ensure the consistency of mutual-exclusion and binding constraints in a business process context. We repeatedly identified the need...
This paper analyses the computational complexity and stability of an online algorithm recently proposed for learning rotations. The proposed algorithm involves multiplicative upda...
—This paper argues that algorithmic skeletons are a suitable programming model for multi-core architectures. -level abstractions offered by algorithmic skeletons provide a simple...
—Complex networks can often be divided in dense sub-networks called communities. Using a partition edit distance, we study how three community detection algorithms transform thei...
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...