Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Abstract. A Web Service (WS) is a type of component specifically conceived for distributed machine-to-machine interaction. Interoperability between WSs involves both data and messa...
Antonia Bertolino, Lars Frantzen, Andrea Polini, J...
Abstract--This paper presents an approach to the task of locating a group of buildings based solely on their relative spatial relationships. This situation can occur in the problem...
Abstract. We consider an automated processing pipeline for tissue micro array analysis (TMA) of renal cell carcinoma. It consists of several consecutive tasks, which can be mapped ...
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...