For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
The "algorithmic small-world hypothesis" states that not only are pairs of individuals in a large social network connected by short paths, but that ordinary individuals ...
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Abstract: An increased circular dichroism (CD) signal of large molecular aggregates formed upon DNA condensation was observed a long time ago, and is often referred to as w-CD. The...
Abstract-Predicting sequential execution blocks of a large scale parallel application is an essential part of accurate prediction of the overall performance of the application. Whe...
Gengbin Zheng, Gagan Gupta, Eric J. Bohm, Isaac Do...