We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
Statistical traffic classification techniques are often developed under the assumption that monitoring devices can observe the two half-flows composing each traffic session. Howeve...
Manuel Crotti, Francesco Gringoli, Luca Salgarelli
In this experience report we present a case study in designing, implementing, and reusing an object-oriented framework for constructing and editing complex search expressions over...
Typically, data collected by a spacecraft is downlinked to Earth and pre-processed before any analysis is performed. We have developed classifiers that can be used onboard a space...
Ashley Davies, Benjamin Cichy, Dominic Mazzoni, Ng...