— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Statistical static timing analysis (SSTA) has been a popular research topic in recent years. A fundamental issue with applying SSTA in practice today is the lack of reliable and e...
Most proponents of domain authentication suggest combining domain authentication with reputation services. This paper presents a new learning algorithm for learning the reputation...
Barry Leiba, Joel Ossher, V. T. Rajan, Richard Seg...
Portable, embedded systems place ever-increasing demands on high-performance, low-power microprocessor design. Dynamic voltage and frequency scaling (DVFS) is a well-known techniq...
Wonyoung Kim, Meeta Sharma Gupta, Gu-Yeon Wei, Dav...
: OSM is a novel approach to usability analysis and design that focuses on the quality of fit between the concepts the user is working with and those represented within supporting ...