Online ensemble learning

Online ensemble learning (2001)

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by Nikunj Chandrakant Oza

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Citations:	26 - 0 self

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@TECHREPORT{Oza01onlineensemble,
    author = {Nikunj Chandrakant Oza},
    title = {Online ensemble learning},
    institution = { },
    year = {2001}
}

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358	Boosting a weak learning algorithm by majority - Freund - 1995
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267	When networks disagree: ensemble methods for hybrid neural networks - Perrone, Cooper - 1993
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251	Bagging, boosting, and C4.5 - Quinlan - 1996
248	Decision Combination in Multiple Classifier Systems - Ho, Hull, et al. - 1994
232	Arcing classifiers - Breiman - 1998
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139	Error correlation and error reduction in ensemble classifiers - Tumer, Ghosh - 1996
129	UCI KDD archive - Bay - 2000
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99	Universal Prediction - Merhav, Feder - 1998
94	Combining the Results of Several Neural-Network Classifiers. Neural Networks 7: 777–781 - Rogova - 1994
91	variance and arcing classifiers - Breiman, “Bias - 1996
81	Boosting decision trees - Drucker, H, et al. - 1996
73	Democracy in Neural Nets: Voting Schemes for Classification - Battiti, Colla - 1994
54	Synergy of clustering multiple back-propagation networks - Lincoln, Skrzypek - 1990
46	On-line algorithms in machine learning - Blum - 1996
33	Universal linear prediction by model order weighting - Singer, Feder - 1999
24	Pasting small votes for classification in large databases and on-line - Breiman - 1999
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21	Online ensemble learning: An empirical study - Fern, Givan - 2003
20	Approximating a function and its derivatives using MSE-optimal linear combinations of trained feedforward neural networks - Hashem, Schmeiser
19	Input decimation ensembles: Decorrelation through dimensionality reduction - Oza, Tumer
14	Dimensionality reduction through classifier ensembles. Instance Selection: A Special Issue of the Data Mining and Knowledge Discovery Journal - Oza, Tumer - 2001
13	Decimated input ensembles for improved generalization - Tumer, Oza - 1999
12	Boosting regression estimators - Avnimelech, Intrator - 1999