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» Learning by Experience Networks in Learning Organizations
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ICSNC
2007
IEEE
15 years 6 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
96
Voted
COMCOM
2010
96views more  COMCOM 2010»
15 years 18 days ago
Passive internet measurement: Overview and guidelines based on experiences
Due to its versatility, flexibility and fast development, the modern Internet is far from being well understood in its entirety. A good way to learn more about how the Internet fu...
Wolfgang John, Sven Tafvelin, Tomas Olovsson
102
Voted
IJAR
2006
89views more  IJAR 2006»
15 years 15 days ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
100
Voted
ICANN
2010
Springer
15 years 1 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
112
Voted
ICIC
2007
Springer
15 years 6 months ago
Usage of Hybrid Neural Network Model MLP-ART for Navigation of Mobile Robot
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
Andrey Gavrilov, Sungyoung Lee