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189
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
173
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
176
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GECCO
2009
Springer
16 years 1 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
193
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ICWL
2007
Springer
16 years 26 days ago
2007
Springer
It is indeed important to implement e-Learning platforms for education and training purposes in a variety of domains. However, facing the enormous amount of learning resources, gui...
230
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ILP
2007
Springer
16 years 26 days ago
2007
Springer
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...