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ICTAI
2006
IEEE
14 years 1 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
14 years 8 months ago
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus
We present a document routing and index partitioning scheme for scalable similarity-based search of documents in a large corpus. We consider the case when similarity-based search ...
Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra
CLUSTER
2005
IEEE
14 years 1 months ago
Minimizing the Network Overhead of Checkpointing in Cycle-harvesting Cluster Environments
Cycle-harvesting systems such as Condor have been developed to make desktop machines in a local area (which are often similar to clusters in hardware configuration) available as ...
Daniel Nurmi, John Brevik, Richard Wolski
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
14 years 9 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
FPL
2006
Springer
111views Hardware» more  FPL 2006»
13 years 11 months ago
A-B Nodes Classification for Power Estimation
In this paper, an optimization for the classical statistical power estimation method is proposed. This technique is applied to the individual nodes. The optimization is based on t...
Elias Todorovich, Eduardo I. Boemo