— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
Nicholas Navaroli, David Turner, Arturo I. Concepc...
—Interdomain routes change over time, and it is impressive to observe up to which extent. Routes may change many times in the same day and sometimes in the same hour or minute. S...
Alessio Campisano, Luca Cittadini, Giuseppe Di Bat...
— This paper studies the optimization techniques for scheduling multimedia packets in satellite digital multimedia broadcasting system, namely SDMB, in the presence of a return l...