Recent work has demonstrated the effectiveness of the wavelet decomposition in reducing large amounts of data to compact sets of wavelet coefficients (termed "wavelet synopse...
Abstract--Detailed diagnostic data is a prerequisite for debugging problems and understanding runtime performance in distributed wireless embedded systems. Severe bandwidth limitat...
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...
We describe the evolution of a statistical survey design visual language from a standalone design-time modelling language into an environment supporting design, coordination, exec...
Both researchers and operators of production systems are frequently faced with the need to manipulate entire disk images. Convenient and fast tools for saving, transferring, and i...
Mike Hibler, Leigh Stoller, Jay Lepreau, Robert Ri...