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» Performance prediction for set similarity joins
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BMCBI
2005
136views more  BMCBI 2005»
14 years 10 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial
HPCA
2003
IEEE
15 years 11 months ago
TCP: Tag Correlating Prefetchers
Although caches for decades have been the backbone of the memory system, the speed gap between CPU and main memory suggests their augmentation with prefetching mechanisms. Recentl...
Zhigang Hu, Margaret Martonosi, Stefanos Kaxiras
TSMC
2010
14 years 5 months ago
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study
Abstract--We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i....
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scot...
SIGGRAPH
1996
ACM
15 years 2 months ago
Simulating Facial Surgery Using Finite Element Models
This paper describes a prototype system for surgical planning and prediction of human facial shape after craniofacial and maxillofacial surgery for patients with facial deformitie...
Rolf M. Koch, Markus H. Gross, Friedrich R. Carls,...
COLT
2008
Springer
15 years 15 days ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál