Inference and prediction of routes have become interest over the past decade owing to a dramatic increase in package delivery ride-sharing services. Given underlying combinatorial structure incorporation probabilities, route involves techniques from both formal methods machine learning. One promising approach for predicting uses decision diagrams that are augmented with probability values. Howe...

Dew computing differs from the classical cloud and edge by bringing devices closer to end-users adding autonomous processing independent Internet, but it is still able collaborate with other exchange information on Internet. The difference expressed also scalability, since providers can provide (almost endless) resources, in case of dew scalability needs be realized level devices, instead serve...

Semidefinite programming (SDP) is a powerful framework from convex optimization that has striking potential for data science applications. This paper develops provably correct randomized algorithm solving large, weakly constrained SDP problems by economizing on the storage and arithmetic costs. Numerical evidence shows method effective range of applications, including relaxations MaxCut, abstra...