Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Abstract. We define a probabilistic contract framework for the construction of component-based embedded systems, based on the theory of Interactive Markov Chains. A contract specif...
Abstract. Random intersection graphs (RIGs) are an important random structure with algorithmic applications in social networks, epidemic networks, blog readership, and wireless sen...
Milan Bradonjic, Aric A. Hagberg, Nicolas W. Henga...
Abstract: This paper describes a Java-based framework for developing componentbased software systems supporting adaptation with logic laws and considering component interactions as...
Enrico Oliva, Antonio Natali, Alessandro Ricci, Mi...
Component-oriented software development is becoming more and more important for the production of large-scale software applications. Today's systems are constructed by combin...