Consider a scientist who wants to explore multiple data sets to select the relevant ones for further analysis. Since the visualization real estate may put a stringent constraint o...
While the problem of high performance packet classification has received a great deal of attention in recent years, the research community has yet to develop algorithmic methods t...
Haoyu Song, Jonathan S. Turner, Sarang Dharmapurik...
Sequential and simultaneous auctions are two important mechanisms for buying/selling multiple objects. These two mechanisms yield different outcomes (i.e., different revenues and a...
This paper presents a short overview of blended learning, showing arguments for and against these concepts. Potential blended learning scenarios are described that vary depending o...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...