| Gama, Joao and Pavel Brazdil. 2000. Cascade generalization. Machine Learning, 41(3):315--343. |
....and algorithm recommendation. Meta classification schemes are algorithms that use the predictions of one or more base level algorithms as the input of additional layers of learning that aim at improving the predictions of the base classifiers. Members of this family are stacking [30] cascading [12], arbiters and combiners [7] and grading [25] Such techniques will not be addressed in this paper. Algorithm recommendation is the problem of learning to recommend an appropriate set of learning algorithms that should be tried on one s prediction problem. Typically, this type of meta learning ....
Joao Gama and Pavel Brazdil. Cascade generalization. Machine Learning, 41(3):315--343, 2000.
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Gama, Joao and Pavel Brazdil. 2000. Cascade generalization. Machine Learning, 41(3):315--343.
No context found.
Joao Gama and Pavel Brazdil. Cascade generalization. Machine Learning, 41(3):315--343, 2000.
No context found.
Gama, J., & Brazdil, P. (2000). Cascade generalization. Machine Learning, 41, 315--343.
No context found.
Joao Gama and Pavel Brazdil. Cascade generalization. Machine Learning, 41(3), 2000.
No context found.
Springer-Verlag. Gama, J., & Brazdil, P. (2000). Cascade generalization. Machine Learning, 41(3), 315--343.
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