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127
Voted
MCS
2002
Springer
15 years 23 days ago
2002
Springer
180
Voted
MCS
2002
Springer
15 years 23 days ago
2002
Springer
99
Voted
MCS
2002
Springer
15 years 23 days 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
15 years 23 days 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...
95
Voted
MCS
2002
Springer
15 years 23 days 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...