We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
Our research addresses two important problems that arise in modern large-scale distributed systems: (1) the necessity to virtualize their data flows by applying actions such as ...
Radhika Niranjan, Ada Gavrilovska, Karsten Schwan,...
In today's Web, many functionality-wise similar Web services are offered through heterogeneous interfaces (operation definitions) and business protocols (ordering constraints...
Hamid R. Motahari Nezhad, Boualem Benatallah, Axel...
Search engines represent a key component of Web economy these days. Despite that, there is not much technical literature available on their design, fine tuning, and internal oper...
Claudine Santos Badue, Ramurti A. Barbosa, Paulo B...