We present a comparative error analysis of the two dominant approaches in datadriven dependency parsing: global, exhaustive, graph-based models, and local, greedy, transition-base...
Sharing mutable data (via aliasing) is a powerful programming technique. To facilitate sharing, object-oriented programming languages permit the programmer to selectively break en...
Derek Rayside, Lucy Mendel, Robert Seater, Daniel ...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
The incorporation of last-generation sensors to airborne and satellite platforms is currently producing a nearly continual stream of high-dimensional data, and this explosion in t...
We consider two techniques of in-band frequency domain multiplexed (FDM) pilots using interleaved frequency domain multiple access (IFDMA) signal with a Chu sequence for DFT-precod...
Chan-Tong Lam, David D. Falconer, Florence Danilo-...