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» Measuring and Predicting Object Importance
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BMCBI
2007
173views more  BMCBI 2007»
14 years 11 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
ICCAD
2001
IEEE
163views Hardware» more  ICCAD 2001»
15 years 8 months ago
Predicting the Performance of Synchronous Discrete Event Simulation Systems
In this paper we propose a model to predict the performance of synchronous discrete event simulation. The model considers parameters including the number of active objects per cyc...
Jinsheng Xu, Moon-Jung Chung
ICDCS
1997
IEEE
15 years 3 months ago
Predictable Network Computing
Clusters of networked, off-the-shelf workstations are currently used for computationintensive, parallel applications. However, it is hardly possible to predict the timing behaviou...
Andreas Polze, Gerhard Fohler, Matthias Werner
ICAT
2003
IEEE
15 years 4 months ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...
ICCCI
2009
Springer
15 years 5 months ago
Accuracy in Predicting Secondary Structure of Ionic Channels
Ionic channels are among the most difficult proteins for experimental structure determining, very few of them has been resolved. Bioinformatical tools has not been tested for this ...
Bogumil Konopka, Witold Dyrka, Jean-Christophe Neb...