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IJCAI
2007
14 years 11 months ago
Extracting Propositional Rules from Feed-forward Neural Networks - A New Decompositional Approach
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...
Sebastian Bader, Steffen Hölldobler, Valentin...
ATAL
2008
Springer
14 years 11 months ago
Robust and efficient plan recognition for dynamic multi-agent teams
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Gita Sukthankar, Katia P. Sycara
JCSS
2007
77views more  JCSS 2007»
14 years 9 months ago
A new approach to model virtual channels in interconnection networks
In this paper we present a new approach to model the effect of virtual channel multiplexing in high-speed interconnection networks. Previous studies have used a method proposed by...
Nasser Alzeidi, Ahmad Khonsari, Mohamed Ould-Khaou...
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TNN
2008
88views more  TNN 2008»
14 years 9 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
COMPLIFE
2006
Springer
15 years 1 months ago
A New Approach to Flux Coupling Analysis of Metabolic Networks
Flux coupling analysis is a method to identify blocked and coupled reactions in a metabolic network at steady state. We present a new approach to flux coupling analysis, which uses...
Abdelhalim Larhlimi, Alexander Bockmayr