The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
A new algorithm is presented which approximates the perceived visual similarity between images. The images are initially transformed into a feature space which captures visual str...
This paper discusses a Web-based simulation manager program that executes an Application Service Provider (ASP) event for a customer who does not possess the inhouse capability to...
Charles Marr, Christopher Storey, William E. Biles...
In recent years, compositional modeling and selfexplanatory simulation techniques have simplified the process of building dynamic simulators of physical systems. Building steady-s...
Financial modeling represents a promising industry application of high performance computing. In previous work, parallel stock option pricing models were developed for the Connect...