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» Inference Algorithms for Similarity Networks
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DATE
2007
IEEE
133views Hardware» more  DATE 2007»
15 years 9 months ago
Butterfly and benes-based on-chip communication networks for multiprocessor turbo decoding
Several research activities have recently emerged aiming to propose multiprocessor implementations in order to achieve flexible and high throughput parallel iterative decoding. Be...
Hazem Moussa, Olivier Muller, Amer Baghdadi, Miche...
IJCNN
2006
IEEE
15 years 9 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
JBI
2006
107views Bioinformatics» more  JBI 2006»
15 years 3 months ago
Knowledge guided analysis of microarray data
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Le...
BMCBI
2010
104views more  BMCBI 2010»
15 years 3 months ago
FragViz: visualization of fragmented networks
Background: Researchers in systems biology use network visualization to summarize the results of their analysis. Such networks often include unconnected components, which popular ...
Miha Stajdohar, Minca Mramor, Blaz Zupan, Janez De...
ITCC
2005
IEEE
15 years 8 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...