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ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 2 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
IJBC
2002
65views more  IJBC 2002»
13 years 7 months ago
On the Templates Corresponding to Cycle-Symmetric Connectivity in Cellular Neural Networks
In the architecture of cellular neural networks (CNN), connections among cells are built on linear coupling laws. These laws are characterized by the so-called templates which exp...
Chih-Wen Shih, Chih-Wen Weng
ICML
2008
IEEE
14 years 8 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
ICANN
2005
Springer
14 years 1 months ago
The Emergence of Visual Object Recognition
The model here proposed simulates the development of the object recognition capability, assuming that recognition does not imply any sort of explicit geometrical reconstruction and...
Alessio Plebe, Rosaria Grazia Domenella
TNN
2011
126views more  TNN 2011»
13 years 2 months ago
Video Time Encoding Machines
—We investigate architectures for time encoding and time decoding of visual stimuli such as natural and synthetic video streams (movies, animation). The architecture for time enc...
Aurel A. Lazar, Eftychios A. Pnevmatikakis