Subspace tracking methods are widespread in signal and image processing. To reduce the influence of perturbations or outliers on the measurements, some authors have used a stocha...
Quentin Rentmeesters, Pierre-Antoine Absil, Paul V...
The popular models for repairable item inventory, both in the literature as well as practical applications, assume that the demands for items are independent of the number of work...
Hoong Chuin Lau, Huawei Song, Chuen Teck See, Siew...
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
—Fault tolerance techniques have been widely used in wireless sensor networks. Base station placement to maximize the network lifetime has also been well studied. However, limite...
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, L...