This article presents the winning solution to the CATS time series prediction competition. The solution is based on classical optimal linear estimation theory. The proposed method...
Abstract— We propose a new delay-constrained minimumhop distributed routing algorithm (DCMH) for unicastrouting. DCMH uses a novel path feasibility prediction (PFP) model that is...
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
: In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contex...
In this paper a method for designing a stabilizing high level model predictive controller for a hierarchical plugand-play process is presented. achieved by abstracting the lower la...