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Gama, Joao and Pavel Brazdil. 2000. Cascade generalization. Machine Learning, 41(3):315--343.

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On the Use of Fast Subsampling Estimates for.. - Fürnkranz, Petrak.. (2002)   Self-citation (Brazdil)   (Correct)

....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.


Active Learning with Multiple Views - Muslea (2002)   (4 citations)  (Correct)

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Gama, Joao and Pavel Brazdil. 2000. Cascade generalization. Machine Learning, 41(3):315--343.


Learning with Local Models - Stefan Ruping University (2005)   (Correct)

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Joao Gama and Pavel Brazdil. Cascade generalization. Machine Learning, 41(3):315--343, 2000.


Delegating Classifiers - Esar Ferri Cferri (2004)   (2 citations)  (Correct)

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Gama, J., & Brazdil, P. (2000). Cascade generalization. Machine Learning, 41, 315--343.


Discriminative Techniques for the Recognition of Complex-Shaped .. - Carmichael (2003)   (Correct)

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Joao Gama and Pavel Brazdil. Cascade generalization. Machine Learning, 41(3), 2000.


Grading Classifiers - Seewald, Fürnkranz (2001)   (Correct)

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Springer-Verlag. Gama, J., & Brazdil, P. (2000). Cascade generalization. Machine Learning, 41(3), 315--343.

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