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SIGMETRICS
2003
ACM
199views Hardware» more  SIGMETRICS 2003»
15 years 7 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
ECIR
2009
Springer
15 years 11 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
146
Voted
APBC
2004
166views Bioinformatics» more  APBC 2004»
15 years 3 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
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 2 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
228
Voted
GIS
2005
ACM
16 years 3 months ago
Improving the R*-tree with outlier handling techniques
The R*-tree, as a state-of-the-art spatial index, has already found its way into commercial systems like Oracle. In this paper, we aim at improving query performance of the R*tree...
Tian Xia, Donghui Zhang