107 search results - page 8 / 22 » Learning to rank using gradient descent |
196
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SCALESPACE
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
194
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ACL
2008
15 years 8 months ago
2008
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
154
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ICANN
2005
Springer
16 years 15 hour ago
2005
Springer
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
166
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
211
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IJACTAICIT
2010
15 years 1 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...