— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
A key step in the semantic analysis of network traffic is to parse the traffic stream according to the high-level protocols it contains. This process transforms raw bytes into s...
Ruoming Pang, Vern Paxson, Robin Sommer, Larry L. ...
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
The paper analyzes a diagrammatic reasoning problem that consists in finding a graphical layout which simultaneously satisfies a set of constraints expressed in a formal language a...
Abstract-- Detecting and isolating multiple faults is a computationally intense task which typically consists of computing a set of tests, and then computing the diagnoses based on...
Mattias Krysander, Fredrik Heintz, Jacob Roll, Eri...