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» Algorithmic Complexity Bounds on Future Prediction Errors
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WWW
2011
ACM
14 years 6 months ago
Finding the bias and prestige of nodes in networks based on trust scores
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
Abhinav Mishra, Arnab Bhattacharya
TALG
2010
158views more  TALG 2010»
14 years 6 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
EUROPAR
2009
Springer
15 years 4 months ago
Automatic Calibration of Performance Models on Heterogeneous Multicore Architectures
Multicore architectures featuring specialized accelerators are getting an increasing amount of attention, and this success will probably influence the design of future High Perfor...
Cédric Augonnet, Samuel Thibault, Raymond N...
BMCBI
2008
173views more  BMCBI 2008»
14 years 11 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
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ISPD
2000
ACM
139views Hardware» more  ISPD 2000»
15 years 4 months ago
Critical area computation for missing material defects in VLSI circuits
We address the problem of computing critical area for missing material defects in a circuit layout. The extraction of critical area is the main computational problem in VLSI yield...
Evanthia Papadopoulou