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» Learning the Common Structure of Data
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ICCS
2007
Springer
15 years 10 months ago
Adaptive Sparse Grid Classification Using Grid Environments
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joach...
ICS
2010
Tsinghua U.
15 years 8 months ago
Timing local streams: improving timeliness in data prefetching
Data prefetching technique is widely used to bridge the growing performance gap between processor and memory. Numerous prefetching techniques have been proposed to exploit data pa...
Huaiyu Zhu, Yong Chen, Xian-He Sun
JMLR
2010
134views more  JMLR 2010»
15 years 1 months ago
Bayesian Algorithms for Causal Data Mining
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
Subramani Mani, Constantin F. Aliferis, Alexander ...
CVPR
2008
IEEE
16 years 8 months ago
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
The use of 3-D ultrasound data has several advantages over 2-D ultrasound for fetal biometric measurements, such as considerable decrease in the examination time, possibility of p...
Gustavo Carneiro, Fernando Amat, Bogdan Georgescu,...
DNIS
2005
Springer
112views Database» more  DNIS 2005»
16 years 3 days ago
Modelling Peer-to-Peer Data Networks Under Complex System Theory
: A Peer-to-peer Data Network (PDN) is an open and evolving society of peer nodes that assemble into a network to share their data for mutual benefit. PDNs are enabled by distribu...
Cyrus Shahabi, Farnoush Banaei Kashani