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» An Artificial Chemistry for Networking
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ISMB
1993
15 years 1 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
ATAL
2010
Springer
15 years 29 days ago
Intelligent agents for the smart grid
The Intelligent Decentralised Energy-Aware Systems (iDEaS) project at the University of Southampton (see www.ideasproject.info) is developing and demonstrating the application of ...
Perukrishnen Vytelingum, Thomas Voice, Sarvapali D...
ATAL
2010
Springer
15 years 29 days ago
UAV swarm coordination using cooperative control for establishing a wireless communications backbone
In this paper, we present a mechanism to fly a swarm of UAVs with the aim of establishing a wireless backbone over a pre-specified area. The backbone is aimed at connecting interm...
Achudhan Sivakumar, Colin Keng-Yan Tan
ATAL
2010
Springer
15 years 29 days ago
Automated negotiation with decommitment for dynamic resource allocation in cloud computing
We consider the problem of allocating networked resources in dynamic environment, such as cloud computing platforms, where providers strategically price resources to maximize thei...
Bo An, Victor R. Lesser, David Irwin, Michael Zink
CIBCB
2009
IEEE
15 years 29 days ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...