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ICDM
2007
IEEE
248views Data Mining» more  ICDM 2007»
15 years 8 months ago
Adapting SVM Classifiers to Data with Shifted Distributions
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
ICDM
2007
IEEE
176views Data Mining» more  ICDM 2007»
15 years 8 months ago
A Compact Representation of Spatio-Temporal Data
As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an ...
Sigal Elnekave, Mark Last, Oded Maimon
ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
15 years 8 months ago
Combining Collective Classification and Link Prediction
The problems of object classification (labeling the nodes of a graph) and link prediction (predicting the links in a graph) have been largely studied independently. Commonly, obje...
Mustafa Bilgic, Galileo Namata, Lise Getoor
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
15 years 8 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
HIPEAC
2009
Springer
15 years 8 months ago
Deriving Efficient Data Movement from Decoupled Access/Execute Specifications
Abstract. On multi-core architectures with software-managed memories, effectively orchestrating data movement is essential to performance, but is tedious and error-prone. In this p...
Lee W. Howes, Anton Lokhmotov, Alastair F. Donalds...