Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Higher-order finite element methods have emerged as an important discretization scheme for simulation. They are increasingly used in contemporary numerical solvers, generating a ...
Aggressive technology scaling to 45nm and below introduces serious reliability challenges to the design of microprocessors. Large SRAM structures used for caches are particularly ...
Amin Ansari, Shantanu Gupta, Shuguang Feng, Scott ...
We study the problem of reliably searching for resources in untrusted peer-to-peer networks, where a significant portion of the participating network nodes may act maliciously to...