An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
Abstract Search engines, with Google at the top, have many remarkable capabilities. But what is not among them is the deduction capability—the capability to synthesize an answer ...
Recognizing speech, gestures, and visual features are important interface capabilities for embedded mobile systems. Perception algorithms have many traits in common with more conv...
Transactional Memory (TM) is a promising technique that simplifies parallel programming for shared-memory applications. To date, most TM systems have been designed to efficientl...
Given the rapid rise of model-driven software development methodologies, it is highly desirable that tools be developed to support the use of design patterns in this context. This...
Hong Zhu, Ian Bayley, Lijun Shan, Richard Amphlett