To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to suppo...
Peter Weinstein, H. Van Dyke Parunak, Paul Chiusan...
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Today’s general-purpose processors are increasingly using multithreading in order to better leverage the additional on-chip real estate available with each technology generation...
Ali El-Moursy, Rajeev Garg, David H. Albonesi, San...
Having to cope with memory limitations is an ubiquitous issue in heuristic search. We present theoretical and practical results on new variants for exploring state-space with respe...