A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
The market demand for portable multimedia applications has exploded in the recent years. Unfortunately, for such applications current compilers and software optimization methods o...
Armita Peymandoust, Tajana Simunic, Giovanni De Mi...
The emerging service grids bring together various distributed services to a ‘market’ for clients to request and enable the integration of services across distributed, heteroge...
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Abstract. We develop a partial equilibrium model to investigate the problem of optimal liquidation over a finite or infinite time horizon for an investor with large holdings in a r...