This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
Based on the invariant features and data distribution in time domain before and after attacking on the audio, it is clearly that the standard variance shows good invariant statisti...
In this paper, we present a feature-based approach for the classification of different playing techniques in bass guitar recordings. The applied audio features are chosen to captu...
Jakob Abesser, Hanna M. Lukashevich, Gerald Schull...