Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
The recent work on COPE by Katti et al. demonstrates a practical application of network coding to wireless multihop networks. We note, however, that the opportunistic nature of CO...
Answer-set programming (ASP) is a well-known formalism for declarative problem solving, enjoying a continuously increasing number of diverse applications. However, arguably one of ...
Abstract. The question of equivalence has long vexed research in concurrency, leading to many different denotational- and bisimulation-based approaches; a breakthrough occurred wit...
Yuxin Deng, Rob J. van Glabbeek, Carroll Morgan, C...
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...