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MCS
2002
Springer
13 years 4 months ago
2002
Springer
MCS
2002
Springer
13 years 4 months ago
2002
Springer
MCS
2002
Springer
13 years 4 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 4 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 4 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...