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NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 6 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...
ICONIP
2008
13 years 8 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
ETFA
2006
IEEE
13 years 10 months ago
Verification of The Minimum Cost Forwarding Protocol for Wireless Sensor Networks
Wireless sensor networks (WSN) consist of small self-contained devices with computational, sensing and wireless communication capabilities. They allow flexible, powerful, tetherles...
William D. Henderson, Steven Tron
KDD
2005
ACM
140views Data Mining» more  KDD 2005»
14 years 7 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 7 months ago
On the bias of BFS
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
Maciej Kurant, Athina Markopoulou, Patrick Thiran