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» Network Structuring and Training Using Rule-Based Knowledge
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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
LREC
2008
174views Education» more  LREC 2008»
14 years 11 months ago
UnsuParse: unsupervised Parsing with unsupervised Part of Speech Tagging
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, we generate syntactic parses of sentences in an entirely unsupervised and self-...
Christian Hänig, Stefan Bordag, Uwe Quasthoff
CORR
2010
Springer
259views Education» more  CORR 2010»
14 years 9 months ago
Community Detection in Networks: The Leader-Follower Algorithm
Natural networks such as those between humans observed through their interactions or biological networks predicted based on various experimental measurements contain a wealth of i...
Devavrat Shah, Tauhid Zaman
CIKM
2010
Springer
14 years 7 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
BMCBI
2005
85views more  BMCBI 2005»
14 years 9 months ago
Prediction of twin-arginine signal peptides
Background: Proteins carrying twin-arginine (Tat) signal peptides are exported into the periplasmic compartment or extracellular environment independently of the classical Secdepe...
Jannick Dyrløv Bendtsen, Henrik Nielsen, Da...