The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
New network applications like intrusion detection systems and packet-level accounting require multi-match packet classification, where all matching filters need to be reported. Te...
Fang Yu, T. V. Lakshman, Martin Austin Motoyama, R...
A multiclass classification problem can be reduced to a collection of binary problems with the aid of a coding matrix. The quality of the final solution, which is an ensemble of b...
Fair queueing of rate and delay-sensitive packet flows in a shared-medium, multihop wireless network remains largely unaddressed because of the unique design issues such as locat...
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...