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ECAI
2004
Springer
16 years 5 days ago
Using Constraints with Memory to Implement Variable Elimination
Abstract. Adaptive consistency is a solving algorithm for constraint networks. Its basic step is variable elimination: it takes a network as input, and producesan equivalent networ...
Martí Sánchez, Pedro Meseguer, Javie...
RECOMB
2003
Springer
16 years 7 months ago
Physical network models and multi-source data integration
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Chen-Hsiang Yeang, Tommi Jaakkola
BMCBI
2006
169views more  BMCBI 2006»
15 years 6 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
ADHOC
2006
116views more  ADHOC 2006»
15 years 6 months ago
Efficient clustering algorithms for self-organizing wireless sensor networks
Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy reso...
Rajesh Krishnan, David Starobinski
IPSN
2003
Springer
15 years 12 months ago
Energy Based Acoustic Source Localization
A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic en...
Xiaohong Sheng, Yu Hen Hu