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» Learning Dynamic Bayesian Networks
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LCN
1998
IEEE
14 years 2 months ago
Multicasting Multimedia Streams with Active Networks
Active networks allow code to be loaded dynamically into network nodes at run-time. This code can perform tasks specific to a stream of packets or even a single packet. In this pa...
Albert Banchs, Wolfgang Effelsberg, Christian F. T...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 10 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...
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 3 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
ICML
2006
IEEE
14 years 11 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
ICASSP
2011
IEEE
13 years 2 months ago
A regularization framework for mobile social network analysis
Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and f...
Xiaowen Dong, Pascal Frossard, Pierre Vandergheyns...