In bandit problems, a decision-maker must choose between a set of alternatives, each of which has a fixed but unknown rate of reward, to maximize their total number of rewards ov...
Michael D. Lee, Shunan Zhang, Miles Munro, Mark St...
- We have developed a performance prediction model for non-bonded interaction computations in molecular dynamics simulations, thereby predicting the optimal cell dimension in a lin...
Manaschai Kunaseth, Rajiv K. Kalia, Aiichiro Nakan...
In service-oriented environments, the fluidity of the marketplace introduces changes in service offerings and subsequent connection failures for users still bound to outdated serv...
M. Brian Blake, Amy Lynn Sliva, Michael zur Muehle...
We present and compare adaptive detection algorithms developed for synthetic aperture radar (SAR) targets in structured clutter, utilizing both generalized likelihood ratio (GLR) ...
We propose a novel BIST technique for non-scan sequential circuits which does not modify the circuit under test. It uses a learning algorithm to build a hardware test sequence gen...