Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
This paper explores power consumption for destructive-read embedded DRAM. Destructive-read DRAM is based on conventional DRAM design, but with sense amplifiers optimized for lower ...
Haakon Dybdahl, Per Gunnar Kjeldsberg, Marius Gran...
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Recently, wireless LANs based on the IEEE 802.11 standard have become popular and widely used, and Voice-over-IP (VoIP) is one of the most promising technologies to be used in mobi...