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KESAMSTA
2010
Springer
13 years 6 months ago
Modelling Dynamic Forgetting in Distributed Information Systems
Abstract. We describe and model a new aspect in the design of distributed information systems. We build upon a previously described problem on the microlevel, which asks how quickl...
Nicolas Höning, Martijn C. Schut
ICANN
2010
Springer
13 years 3 months ago
Dynamic Shape Learning and Forgetting
In this paper, we present a system capable of dynamically learning shapes in a way that also allows for the dynamic deletion of shapes already learned. It uses a self-balancing Bin...
Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas
CONNECTION
2004
98views more  CONNECTION 2004»
13 years 4 months ago
Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
Bernard Ans, Stephane Rousset, Robert M. French, S...
ICDCSW
2005
IEEE
13 years 10 months ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
TNN
1998
100views more  TNN 1998»
13 years 4 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada