We introduce and study Recursive Markov Chains (RMCs), which extend ordinary finite state Markov chains with the ability to invoke other Markov chains in a potentially recursive m...
We describe the architecture and the implementation of the MIKADO software framework, that we call IMC (Implementing Mobile Calculi). The framework aims at providing the programmer...
Lorenzo Bettini, Rocco De Nicola, Daniele Falassi,...
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
Abstract. In this paper we initiate an exploration of relationships between “preference elicitation”, a learning-style problem that arises in combinatorial auctions, and the pr...
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, M...
Abstract. Current development processes for parallel software often fail to deliver portable software. This is because these processes usually require a tedious tuning phase to del...