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...
Energy-efficient image communication is one of the most important goals for a large class of current and future sensor network applications. This paper presents a quantitative com...
Dong-U Lee, Hyungjin Kim, Steven Tu, Mohammad H. R...
Damg˚ard et al. [11] showed a novel technique to convert a polynomial sharing of secret a into the sharings of the bits of a in constant rounds, which is called the bit-decomposit...
Intuitively, aggressive work sharing among concurrent queries in a database system should always improve performance by eliminating redundant computation or data accesses. We show...
Ryan Johnson, Nikos Hardavellas, Ippokratis Pandis...
Christopher James Langmead⋆ and Sumit Kumar Jha Department of Computer Science, Carnegie Mellon University We present a novel approach for predicting protein folding kinetics us...