A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
We introduce a new model of molecular computation that we call the sticker model. Like many previous proposals it makes use of DNA strands as the physical substrate in which infor...
Sam T. Roweis, Erik Winfree, Richard Burgoyne, Nic...
An algorithm called Modoc", which has been introduced elsewhere, enhances propositional model elimination with autarky pruning, and other features. The model elimination meth...
While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this approach. This article outlines both the opportun...
On-chip caches represent a sizeable fraction of the total power consumption of microprocessors. Although large caches can significantly improve performance, they have the potentia...