1701 search results - page 51 / 341 » Learning Mappings with Neural Network |
101
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PAA
2000
15 years 1 months ago
2000
: The initialisation of a neural network implementation of Sammon's mapping, either randomly or based on the principal components (PCs) of the sample covariance matrix, is exp...
154
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IFGIS
2009
Springer
15 years 8 months ago
2009
Springer
Self-Organizing Maps (SOMs), or Kohonen networks, are widely used neural network architecture. This paper starts with a brief overview of how SOMs can be used in different types of...
135
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ICML
2008
IEEE
2008
IEEE
A unified architecture for natural language processing: deep neural networks with multitask learning
16 years 2 months ago
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...
ISNN
2005
Springer
15 years 7 months ago
2005
Springer
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
ICANN
2007
Springer
15 years 8 months ago
2007
Springer
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...