In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
In this paper, we develop a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple att...
Douglas J. Morrice, John C. Butler, Peter W. Mulla...
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Enabling video transport over ad-hoc networks is more challenging than over other wireless networks because a connection path in an ad-hoc network is highly error-prone and a path...
Shunan Lin, Yao Wang, Shiwen Mao, Shivendra S. Pan...
We developed Gr?mlin 2.0, a new multiple network aligner with (1) a novel scoring function that can use arbitrary features of a multiple network alignment, such as protein deletion...
Jason Flannick, Antal F. Novak, Chuong B. Do, Bala...