Large and complex computer based systems are the result of an evolution process which may take many years. Heterogeneity is an important characteristic of such systems: During the...
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
The instruction cache is a popular target for optimizations of microprocessor-based systems because of the cache’s high impact on system performance and power, and because of th...
Very large scale computations are now becoming routinely used as a methodology to undertake scientific research. In this context, ‘provenance systems’ are regarded as the equ...
Paul T. Groth, Simon Miles, Weijian Fang, Sylvia C...