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ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
15 years 3 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
SIGMETRICS
2003
ACM
199views Hardware» more  SIGMETRICS 2003»
15 years 5 months ago
Data cache locking for higher program predictability
Caches have become increasingly important with the widening gap between main memory and processor speeds. However, they are a source of unpredictability due to their characteristi...
Xavier Vera, Björn Lisper, Jingling Xue
APBC
2004
166views Bioinformatics» more  APBC 2004»
15 years 1 months ago
A Novel Method for Protein Subcellular Localization Based on Boosting and Probabilistic Neural Network.
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...
Jian Guo, Yuanlie Lin, Zhirong Sun
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CORR
2006
Springer
96views Education» more  CORR 2006»
14 years 12 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk
CORR
2007
Springer
95views Education» more  CORR 2007»
14 years 12 months ago
Prediction with expert advice for the Brier game
We show that the Brier game of prediction is mixable and find the optimal learning rate and substitution function for it. The resulting prediction algorithm is applied to predict...
Vladimir Vovk