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163
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ECIR
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
150
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NIPS
2003
15 years 7 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
154
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ATAL
2010
Springer
15 years 7 months ago
2010
Springer
Verification of multi-agent programs is a key problem in agent research and development. This paper focuses on multi-agent programs that consist of a finite set of BDI-based agent...
164
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CN
2007
15 years 6 months ago
2007
In most network security analysis, researchers mainly focus on qualitative studies on security schemes and possible attacks, and there are few papers on quantitative analysis in t...
197
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VRML
1999
ACM
15 years 10 months ago
1999
ACM
VRML is a file format for the description of dynamic scene graphs containing 3D objects with their visual appearance, multimedia content, an event model, and scripting capabilitie...