107 search results - page 8 / 22 » Learning to rank using gradient descent |
SCALESPACE
2009
Springer
15 years 5 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...
102
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ACL
2008
15 years 18 days 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...
ICANN
2005
Springer
15 years 4 months 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...
KDD
2009
ACM
15 years 11 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...
118
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IJACTAICIT
2010
14 years 6 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...