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» Evaluating Discourse Processing Algorithms
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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 1 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
CSE
2008
IEEE
14 years 12 months ago
Application Specific Processors for Multimedia Applications
A well-known challenge during processor design is to obtain best possible results for a typical target application domain by combining flexibility and computational performance. A...
Rashid Muhammad, Ludovic Apvrille, Renaud Pacalet
MEDIAFORENSICS
2010
14 years 11 months ago
Managing a large database of camera fingerprints
Sensor fingerprint is a unique noise-like pattern caused by slightly varying pixel dimensions and inhomogeneity of the silicon wafer from which the sensor is made. The fingerprint...
Miroslav Goljan, Jessica J. Fridrich, Tomás...
NIPS
2008
14 years 11 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
IPM
2007
69views more  IPM 2007»
14 years 10 months ago
Investigating sentence weighting components for automatic summarisation
The work described here initially formed part of a triangulation exercise to establish the effectiveness of the Query Term Order algorithm. The methodology produced subsequently p...
Shao Fen Liang, Siobhan Devlin, John Tait