We consider the problem of structured classification, where the task is to predict a label y from an input x, and y has meaningful internal structure. Our framework includes super...
Peter L. Bartlett, Michael Collins, Benjamin Taska...
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
The following paper briefly presents the formulation and development of a case study supply chain simulation model as developed for an industrial company. The case study company i...
We compare techniques that dynamically scale the voltage of individual network links to reduce power consumption with an approach in which all links in the network are set to the s...
A central issue in bilingual research concerns the extent to which linguistic representations in the two languages are processed independently of each other. This paper reports th...