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NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 2 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
BMCBI
2011
14 years 6 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
FLAIRS
2007
15 years 4 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...
ICDE
2008
IEEE
139views Database» more  ICDE 2008»
16 years 3 months ago
Maintaining Connectivity in Dynamic Multimodal Network Models
Network data models are frequently used as a mechanism to describe the connectivity between spatial features in many emerging GIS applications (location-based services, transporta...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
SECURWARE
2008
IEEE
15 years 8 months ago
A Body-Centered Cubic Method for Key Agreement in Dynamic Mobile Ad Hoc Networks
Mobile ad hoc networking is an operating mode for rapid mobile host interconnection, where nodes rely on each other, in order to maintain network connectivity and functionality. S...
Ioannis G. Askoxylakis, Damien Sauveron, Constanti...