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» Computational aspects of the FLBC framework
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15 years 5 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
SIGMOD
2002
ACM
127views Database» more  SIGMOD 2002»
14 years 7 months ago
Approximate XML joins
XML is widely recognized as the data interchange standard for tomorrow, because of its ability to represent data from a wide variety of sources. Hence, XML is likely to be the for...
Sudipto Guha, H. V. Jagadish, Nick Koudas, Divesh ...
SOUPS
2009
ACM
14 years 2 months ago
flyByNight: mitigating the privacy risks of social networking
Social networking websites are enormously popular, but they present a number of privacy risks to their users, one of the foremost of which being that social network service provid...
Matthew M. Lucas, Nikita Borisov
CIA
2007
Springer
14 years 1 months ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp
IBPRIA
2007
Springer
14 years 1 months ago
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to no...
Robert Marti, Joan Martí, Jordi Freixenet, ...