Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Web textual advertising can be interpreted as a search problem over the corpus of ads available for display in a particular context. In contrast to conventional information retrie...
Andrei Z. Broder, Massimiliano Ciaramita, Marcus F...
Background: Accurate estimation of statistical significance of a pairwise alignment is an important problem in sequence comparison. Recently, a comparative study of pairwise stati...
One aspect in which retrieving named entities is different from retrieving documents is that the items to be retrieved – persons, locations, organizations – are only indirect...
Clock skew scheduling has been traditionally considered as a tool for improving the clock period in a sequential circuit. Timing slack is "stolen" from fast combinationa...