Inference in popular nonparametric Bayesian models typically relies on sampling or other approximations. This paper presents a general methodology for constructing novel tractable nonparametric Bayesian methods by applying the kernel trick to inference in a parametric Bayesian model. For example, Gaussian process regression can be derived this way from Bayesian linear regression. Despite the su...

We consider the tolerance of data structures to memory faults. We observe that many pointer-based data structures (e.g. linked lists, trees, etc.) are highly nonresilient to faults. A single fault in a linked list or tree may result in the loss of the entire set of data. In this paper we present a formal framework for studying the fault tolerance properties of pointer-based data structures, and...

One person’s fight against an HIV infection can decrease the virus’s ability to threaten its next victim, say Goepfert et al. (page 1009). Mutations that help the virus survive in one host decrease its ability to replicate in the next. HIV mutations that help the virus bypass the host’s immune system often fall within gag. This gene is a favorite target for mutations because, for some reason, G...