Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
We propose a method for inferring parameterized regular types for logic programs as solutions for systems of constraints over sets of finite ground Herbrand terms (set constraint s...
Francisco Bueno, Jorge A. Navas, Manuel V. Hermene...
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
We consider the problem of finding a maximum number of disjoint paths for unit disks moving amidst static or dynamic obstacles. For the static case we give efficient exact algorit...
Esther M. Arkin, Joseph S. B. Mitchell, Valentin P...
High-level hardware modeling is an essential, yet time-consuming, part of system design. However, effective component-based reuse in hardware modeling languages can reduce model c...
Manish Vachharajani, Neil Vachharajani, Sharad Mal...