Who Cited It

The random subspace method for constructing decision forests

1998 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 6,904 citations · 14 from inside this corpus

Tin Kam Ho

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

The random subspace method for constructing decision forests (1998)The random subspace method fo…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Classification and Regression Trees. (1986)Classification and Regression…Bagging Predictors (1996)Bagging PredictorsBagging predictors (1996)Bagging predictorsInduction of Decision Trees (1986)Induction of Decision TreesInduction of decision trees (1986)Induction of decision treesExperiments with a new boosting algorithm (1996)Experiments with a new boosti…Random decision forests (2002)Random decision forestsDecision combination in multiple classifier systems (1994)Decision combination in multi…Random Forests (2001)Random ForestsExtremely randomized trees (2006)Extremely randomized treesStatistical Modeling: The Two Cultures (with comments and a rejoinder by the author) (2001)Statistical Modeling: The Two…A random forest guided tour (2016)A random forest guided tourEnsemble learning: A survey (2018)Ensemble learning: A surveyEnsemble based systems in decision making (2006)Ensemble based systems in dec…Variable selection using random forests (2010)Variable selection using rand…Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac… (2003)Measures of Diversity in Clas…Ensemble deep learning: A review (2022)Ensemble deep learning: A rev…Rotation Forest: A New Classifier Ensemble Method (2006)Rotation Forest: A New Classi…TabNet: Attentive Interpretable Tabular Learning (2021)TabNet: Attentive Interpretab…Ensemble Machine Learning (2012)Ensemble Machine LearningDecision trees: a recent overview (2011)Decision trees: a recent over…Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…
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What this paper cites, inside the corpus

PaperYearCited
The Nature of Statistical Learning Theory199539,409
C4.5: Programs for Machine Learning199223,704
Classification and Regression Trees.198621,044
Bagging Predictors199617,191
Bagging predictors199616,468
Induction of Decision Trees198615,020
Induction of decision trees198612,427
Experiments with a new boosting algorithm19967,582
Random decision forests20025,123
Decision combination in multiple classifier systems19941,515

What cites it, inside the corpus

PaperYearCited
Random Forests2001131,109
Extremely randomized trees20069,068
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)20014,362
A random forest guided tour20164,026
Ensemble learning: A survey20183,088
Ensemble based systems in decision making20062,965
Variable selection using random forests20102,615
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Ac…20032,321
Ensemble deep learning: A review20222,136
Rotation Forest: A New Classifier Ensemble Method20061,911
TabNet: Attentive Interpretable Tabular Learning20211,700
Ensemble Machine Learning20121,653
Decision trees: a recent overview20111,577
Machine learning: a review of classification and combining techniques20061,562

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Topics

Neural Networks and ApplicationsComputer Science
Face and Expression RecognitionComputer Science
Machine Learning and Data ClassificationComputer Science

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complete

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  • supports1 author record(s) attached.
  • supports44 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…