An introduction to difference equations
An introduction to difference equations
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Theoretical advances in artificial immune systems
Theoretical Computer Science
Modelling the Tunability of Early T Cell Signalling Events
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Adaptive data-driven error detection in swarm robotics with statistical classifiers
Robotics and Autonomous Systems
Asymptotically optimal discriminant functions for pattern classification
IEEE Transactions on Information Theory
On the efficiency of on-line density estimators
IEEE Transactions on Information Theory
Artificial immune systems for optimisation
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
| Hi-index | 5.23 |
This paper describes the biological and theoretical foundations of a new Artificial Immune System the Receptor Density Algorithm. The algorithm is developed with inspiration from T cell signalling processes and has application in anomaly detection. Connections between the Receptor Density Algorithm and kernel density estimation with exponential smoothing are demonstrated. Finally, the paper evaluates the algorithm's performance on two types of anomaly detection problem.