1074 search results - page 85 / 215 » Learning by Experience Networks in Learning Organizations |
119
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JMLR
2012
13 years 3 months ago
2012
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
153
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JMLR
2012
13 years 3 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
112
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ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
100
Voted
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
111
Voted
AAAI
2008
15 years 2 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...