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» Algorithmic Complexity Bounds on Future Prediction Errors
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BMCBI
2010
132views more  BMCBI 2010»
14 years 12 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
CORR
2000
Springer
92views Education» more  CORR 2000»
14 years 11 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
HPDC
2007
IEEE
15 years 6 months ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai
ICASSP
2011
IEEE
14 years 3 months ago
Adaptive frequency-domain biased estimation algorithms with automatic adjustment of shrinkage factors
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
Sheng Li, Rodrigo C. de Lamare, Martin Haardt
RT
1999
Springer
15 years 4 months ago
Decoupling Polygon Rendering from Geometry using Rasterization Hardware
The dramatically increasing size of polygonal models resulting from 3D scanning devices and advanced modeling techniques requires new approaches to reduce the load of geometry tran...
Rüdiger Westermann, Ove Sommer, Thomas Ertl