Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Some of the data available to today’s enterprise applications is inconsistent. This is an inevitable consequence of data being distributed and partially replicated in many locati...
Peter Henderson, Robert John Walters, Stephen Crou...
This paper presents the results from a detailed, experimental study of OSPF, an intra-domain routing protocol, running on a mid-size regional Internet service provider. Using mult...