A fundamental problem in distributed computing is performing a set despite failures and delays. Stated abstractly, the problem is to perform N tasks using P failure-prone processor...
Dariusz R. Kowalski, Mariam Momenzadeh, Alexander ...
The problem of reconstructing a binary image (usually an image in the plane and not necessarily on a Cartesian grid) from a few projections translates into the problem of solving a...
Bruno M. Carvalho, Gabor T. Herman, Samuel Matej, ...
FLUX is a declarative, CLP-based programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledg...
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
We present statistical and interval techniques for evaluating the uncertainties associated with geophysical tomographic inversion problems, including estimation of data errors, mo...
Diane I. Doser, Kevin D. Crain, Mark R. Baker, Vla...