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ADC
2008
Springer
100views Database» more  ADC 2008»
13 years 9 months ago
UserMap : an Adaptive Enhancing of User-Driven XML-to-Relational Mapping Strategies
As the XML has become a standard for data representation, it is inevitable to propose and implement techniques for efficient managing of XML data. A natural alternative is to expl...
Irena Mlynkova, Jaroslav Pokorný
EUROPAR
2009
Springer
14 years 1 months ago
Adaptive Peer Sampling with Newscast
Abstract. The peer sampling service is a middleware service that provides random samples from a large decentralized network to support gossip-based applications such as multicast, ...
Norbert Tölgyesi, Márk Jelasity
BMCBI
2008
228views more  BMCBI 2008»
13 years 7 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
IJCNN
2006
IEEE
14 years 1 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
SPAA
2004
ACM
14 years 15 days ago
Adaptive channel queue routing on k-ary n-cubes
This paper introduces a new adaptive method, Channel Queue Routing (CQR), for load-balanced routing on k-ary n-cube interconnection networks. CQR estimates global congestion in th...
Arjun Singh, William J. Dally, Amit K. Gupta, Bria...