Adaptor grammars are a framework for expressing and performing inference over a variety of non-parametric linguistic models. These models currently provide state-of-the-art perfor...
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Nanoelectronic devices are expected to have extremely high and variable fault rates; thus future processor architectures based on these unreliable devices need to be built with fa...
—We propose an adaptive hybrid automatic repeat request–forward error correction (ARQ–FEC) erasure-correcting scheme for quality of service (QoS)-driven mobile multicast serv...
We consider a classical (propositional) version, CBI, of O'Hearn and Pym's logic of bunched implications (BI) from a model- and prooftheoretic perspective. We present a c...