Background: Large databases of genetic data are often biased in their representation. Thus, selection of genetic data with desired properties, such as evolutionary representation ...
Mohan Krishnamoorthy, Pragneshkumar Patel, Mira Di...
With process scaling, leakage power reduction has become one of the most important design concerns. Multi-threshold techniques have been used to reduce runtime leakage power witho...
Puneet Gupta, Andrew B. Kahng, Puneet Sharma, Denn...
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
We discuss Skart, an automated batch-means procedure for constructing a skewness- and autoregression-adjusted confidence interval for the steady-state mean of a simulation output ...
Ali Tafazzoli, James R. Wilson, Emily K. Lada, Nat...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...