Maximum a Posteriori assignment (MAP) is the problem of finding the most probable instantiation of a set of variables given the partial evidence on the other variables in a Bayesi...
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
— This paper introduces a new benchmark tool, SPEK (Storage Performance Evaluation Kernel module), for evaluating the performance of block-level storage systems in the presence o...
This paper describes a program called Pret that automates system identification, the process of finding a dynamical model of a black-box system. Pret performs both structural iden...