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WWW
2009
ACM
14 years 10 months ago
The recurrence dynamics of social tagging
How often do tags recur? How hard is predicting tag recurrence? What tags are likely to recur? We try to answer these questions by analysing the RSDC08 dataset, in both individual...
Dell Zhang, Robert Mao, Wei Li
IROS
2007
IEEE
94views Robotics» more  IROS 2007»
14 years 3 months ago
Two-way translation of compound sentences and arm motions by recurrent neural networks
- We present a connectionist model that combines motions and language based on the behavioral experiences of a real robot. Two models of recurrent neural network with parametric bi...
Tetsuya Ogata, Masamitsu Murase, Jun Tani, Kazunor...
AIA
2006
13 years 11 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
ICML
2006
IEEE
14 years 10 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...
BMCBI
2006
101views more  BMCBI 2006»
13 years 9 months ago
Local protein structure prediction using discriminative models
Background: In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen...
Oliver Sander, Ingolf Sommer, Thomas Lengauer