— Calibration is the procedure of quantifying mechanical deficiencies of machines and compensating them by appropriate adjustment. This paper introduces a modelbased measurement...
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
Agent-based simulation is increasingly used to study systems in many areas of business and science. Using agentbased simulation for prediction could be very valuable. However, the...
Background: A basic question of protein structural studies is to which extent mutations affect the stability. This question may be addressed starting from sequence and/or from str...
Emidio Capriotti, Piero Fariselli, Ivan Rossi, Rit...