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MCS
2002
Springer
13 years 10 months ago
2002
Springer
MCS
2002
Springer
13 years 10 months ago
2002
Springer
MCS
2002
Springer
13 years 10 months ago
2002
Springer
We empirically evaluate several state-of-the-art methods for constructing ensembles of classifiers with stacking and show that they perform (at best) comparably to selecting the be...
MCS
2002
Springer
13 years 10 months ago
2002
Springer
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
MCS
2002
Springer
13 years 10 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...