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ESANN
2007
14 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
WSC
2007
15 years 7 days ago
Using ontologies for simulation integration
This paper describes the motivations, methods, and solution concepts for the use of ontologies for simulation model integration. Ontological analysis has been shown to be an effec...
Perakath C. Benjamin, Kumar V. Akella, Ajay Verma
CIKM
2005
Springer
15 years 3 months ago
Internet scale string attribute publish/subscribe data networks
With this work we aim to make a three-fold contribution. We first address the issue of supporting efficiently queries over string-attributes involving prefix, suffix, containmen...
Ioannis Aekaterinidis, Peter Triantafillou
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 4 months ago
Privacy Preserving Nearest Neighbor Search
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
Mark Shaneck, Yongdae Kim, Vipin Kumar
SAC
2010
ACM
15 years 3 months ago
Chemical-inspired self-composition of competing services
This paper aims at pushing the clear relationship between software service composition and chemical dynamics a step forward. We developed a coordination model where services and c...
Mirko Viroli, Matteo Casadei