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» An Introduction to Learning Structured Information
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IJCAI
2001
14 years 11 months ago
Learning Iterative Image Reconstruction
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Sven Behnke
BIBM
2007
IEEE
135views Bioinformatics» more  BIBM 2007»
15 years 4 months ago
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
JCDL
2006
ACM
119views Education» more  JCDL 2006»
15 years 3 months ago
Learning from artifacts: metadata utilization analysis
Describes the MARC Content Designation Utilization Project, which is examining a very large set of metadata records as artifacts of the library cataloging enterprise. This is the ...
William E. Moen, Shawne D. Miksa, Amy Eklund, Serh...
ECIS
2001
14 years 11 months ago
Learning to value the Bardic tradition: Culture, communication and organisational knowledge
Recent work on organisational knowledge suggests that, in addition to cultivating the 'knowledge spiral', organisations need to focus on facilitating forms of 'know...
Mark Thompson 0002, Geoff Walsham
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin