4947 search results - page 443 / 990 » Learning Module Networks |
161
Voted
GECCO
2005
Springer
15 years 10 months ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
157
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NIPS
2008
15 years 6 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
174
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CORR
2012
Springer
14 years 23 days ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
129
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IJCNN
2008
IEEE
15 years 11 months ago
2008
IEEE
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
148
Voted
ECAL
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Artificial agents controlled by dynamic recurrent node networks with fixed weights are evolved to search for food and associate it with one of two different temperatur...