Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
Workflows are widely used for representing business processes, web services, scientific experiments, and activities in daily life, like recipes. There is an increasing need for peo...
W e present a simple and eficient scheme for using the Set Partitioning in Hierarchical Trees (SPIHT) image compression algorithm [l]in a generalized multiple description framewor...
Agnieszka C. Miguel, Alexander E. Mohr, Eve A. Ris...
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...