3395 search results - page 529 / 679 » Learning to efficiently rank |
129
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APIN
1999
15 years 4 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
120
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NN
1998
Springer
15 years 4 months ago
1998
Springer
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
122
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ACL
2010
15 years 2 months ago
2010
Learning a tree substitution grammar is very challenging due to derivational ambiguity. Our recent approach used a Bayesian non-parametric model to induce good derivations from tr...
162
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BIOCOMP
2010
15 years 2 months ago
2010
- We present a novel hierarchical modular decision engine for lung nodule detection from CT images implemented by Artificial Neural Networks. The proposed Computer Aided Detection ...
135
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IEAAIE
2010
Springer
15 years 2 months ago
2010
Springer
Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. However, more powerful tools are needed in order to fulfi...