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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
GECCO
2006
Springer
15 years 10 months ago
Dominance hierarchies and social diversity in multi-agent systems
In this study, we investigate self-organizing social hierarchies in multi-agent systems. Agents occupy the nodes of a smallworld network and interact exclusively with other agents...
Michael Kirley
ICC
2000
IEEE
233views Communications» more  ICC 2000»
15 years 10 months ago
Multicasting Sustained CBR and VBR Traffic in Wireless Ad-Hoc Networks
Wireless ad-hoc networks consist of mobile nodes forming a dynamically changing topology without any infrastructure. Multicasting in a wireless ad-hoc network is difficult and chal...
George D. Kondylis, Srikanth V. Krishnamurthy, Son...
BCSHCI
2008
15 years 8 months ago
An apartment-based metaphor for intuitive interaction with ambient assisted living applications
Ambient Assisted Living (AAL) aims at supporting elderly people in their daily lives, allowing them to grow old at home. In order to provide easy remote control over the rapidly g...
Sébastian Adam, Kizito Ssamula Mukasa, Kai ...
MVA
2007
210views Computer Vision» more  MVA 2007»
15 years 8 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...