107 search results - page 21 / 22 » Learning to rank using gradient descent |
111
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WEBDB
2010
Springer
15 years 5 months ago
2010
Springer
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di�...
148
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TNN
2010
14 years 7 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
123
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COLT
2005
Springer
15 years 6 months ago
2005
Springer
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
105
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FLAIRS
2004
15 years 2 months ago
2004
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
86
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BMCBI
2006
15 years 21 days ago
2006
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...