Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
This paper considers a two-stage development problem for information goods with costless quality degradation. In our model, a seller of information goods faces customers that are ...
— Clock frequency and transistor density increases have resulted in elevated chip temperatures. In order to meet temperature constraints while still exploiting the performance op...
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...