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COLT
2005
Springer
15 years 6 months ago
Separating Models of Learning from Correlated and Uncorrelated Data
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...
ISLPED
1997
ACM
124views Hardware» more  ISLPED 1997»
15 years 4 months ago
Low power high level synthesis by increasing data correlation
With the increasing performance and density of VLSI circuits as well as the popularity of portable devices such as personal digital assistance, power consumption has emerged as an...
Dongwan Shin, Kiyoung Choi
116
Voted
ICDE
2010
IEEE
211views Database» more  ICDE 2010»
15 years 7 months ago
ROX: The robustness of a run-time XQuery optimizer against correlated data
— We demonstrate ROX, a run-time optimizer of XQueries, that focuses on finding the best execution order of XPath steps and relational joins in an XQuery. The problem of join or...
Riham Abdel Kader, Peter A. Boncz, Stefan Manegold...
105
Voted
ISCA
2009
IEEE
150views Hardware» more  ISCA 2009»
15 years 7 months ago
Stream chaining: exploiting multiple levels of correlation in data prefetching
Data prefetching has long been an important technique to amortize the effects of the memory wall, and is likely to remain so in the current era of multi-core systems. Most prefetc...
Pedro Diaz, Marcelo Cintra
140
Voted
DEBS
2007
ACM
15 years 4 months ago
High frequency distributed data stream event correlation to improve neonatal clinical management
Approximately eighteen percent (18%) of babies born in New South Wales (NSW), Australia require special care or neonatal intensive care admission. Premature babies can be up to 17...
Carolyn McGregor, Michael Stacey