We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
—Geospatial tagging (geotagging) is an emerging and very promising application that can help users find a wide variety of location-specific information, and facilitate the deve...
We propose a framework to translate certain subclasses of differential equation systems into distributed protocols that are practical. The synthesized protocols are state machine...
Aggressive hardware-based and software-based prefetch algorithms for hiding memory access latencies were proposed to bridge the gap of the expanding speed disparity between proces...