Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
We study the online problem of holding a number of idle threads on an application server, which we have ready for processing new requests. The problem stems from the fact that bot...
Abstract. Many real world applications rely on the discovery of maximal biclique subgraphs (complete bipartite subgraphs). However, existing algorithms for enumerating maximal bicl...
Abstract. We address the problem of extracting Minimal Unsatisfiable Cores (MUCs) from constraint networks. This computationally hard problem has a practical interest in many appli...
Fred Hemery, Christophe Lecoutre, Lakhdar Sais, Fr...
Open component architectures, such as CORBA, allow software systems to be composed of independent components. The behavior of components is described with a mixture of an interfac...