The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Because of the strong coupling of classes and the proliferation of unneeded class members induced by inheritance, the suggestion to use composition and delegation instead has beco...
Previous work has proven typestates to be useful for modeling protocols in object-oriented languages. We build on this work by addressing substitutability of subtypes as well as i...
Sponsored search systems are tasked with matching queries to relevant advertisements. The current state-of-the-art matching algorithms expand the user's query using a variety...
Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovi...