We present a systematic way to generate (1) languages of (generalised) regular expressions, and (2) sound and complete axiomatizations thereof, for a wide variety of quantitative ...
Alexandra Silva, Filippo Bonchi, Marcello M. Bonsa...
It has recently been shown how to construct online, non-amortised approximate pattern matching algorithms for a class of problems whose distance functions can be classified as be...
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Abstract--The performance of existing moments-based nondata-aided (NDA) estimators of signal-to-noise ratio (SNR) in digital communication systems substantially degrades with multi...