We are presenting a new concept of an application-specific processor that is capable of transmuting its instruction set according to non-predictive application behavior during run...
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
We present pmlB, a programming language that includes primitive sets and associated operations. The language is equipped with a precise type discipline that statically captures dy...
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Answer-set programming (ASP) is widely recognised as a viable tool for declarative problem solving. However, there is currently a lack of tools for developing answer-set programs....