We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Abstract. Embedded system design complexities are growing exponentially. Demand has increased for modeling techniques that can provide both accurate measurements of delay and fast ...
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Patients’ basic understanding of clinical events has been shown to dramatically improve patient care. We propose that the automatic generation of very short microexplanations, s...
Lauren Wilcox, Dan Morris, Desney S. Tan, Justin G...
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...