Who Cited It

Wrappers for feature subset selection

1997 · Artificial Intelligence · 8,991 citations · 9 from inside this corpus

Ron Kohavi, George H. John

No abstract in the source record.

Wrappers for feature subset selection (1997)Wrappers for feature subset s…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Artificial intelligence: a modern approach (1995)Artificial intelligence: a mo…Classification and Regression Trees. (1986)Classification and Regression…Genetic Algorithms in Search, Optimization and Machine Learning (1988)Genetic Algorithms in Search,…Bagging Predictors (1996)Bagging PredictorsBagging predictors (1996)Bagging predictorsInduction of Decision Trees (1986)Induction of Decision TreesInduction of decision trees (1986)Induction of decision treesThe perceptron: A probabilistic model for information storage and organization in the bra… (1958)The perceptron: A probabilist…A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection (1995)A Study of Cross-Validation a…UCI Repository of machine learning databases (1998)UCI Repository of machine lea…Stacked generalization (1992)Stacked generalizationInstance-Based Learning Algorithms (1991)Instance-Based Learning Algor…Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…The Strength of Weak Learnability (1990)The Strength of Weak Learnabi…A Practical Approach to Feature Selection (1992)A Practical Approach to Featu…Pattern recognition : a statistical approach (1982)Instance-based learning algorithms (1991)Instance-based learning algor…The strength of weak learnability (1990)The strength of weak learnabi…Irrelevant Features and the Subset Selection Problem (1994)Irrelevant Features and the S…UCI Repository of Machine Learning Databases (1996)UCI Repository of Machine Lea…Machine Learning, Neural and Statistical Classification (1995)Machine Learning, Neural and …The Weighted Majority Algorithm (1994)The Weighted Majority Algorit…The feature selection problem: traditional methods and a new algorithm (1992)The feature selection problem…Neural Network Ensembles, Cross Validation, and Active Learning (1994)Boosting a Weak Learning Algorithm by Majority (1995)Boosting a Weak Learning Algo…Proceedings of the 20th conference on Uncertainty in artificial intelligence (2004)Proceedings of the 20th confe…Feature Selection with the Boruta Package (2010)Feature Selection with the Bo…Bayesian Network Classifiers (1997)Bayesian Network ClassifiersMachine learning applications in cancer prognosis and prediction (2014)Machine learning applications…Selection of relevant features and examples in machine learning (1997)Selection of relevant feature…Variable selection using random forests (2010)Variable selection using rand…An extensive empirical study of feature selection metrics for text classification (2003)An extensive empirical study …A Survey on Evolutionary Computation Approaches to Feature Selection (2015)A Survey on Evolutionary Comp…A survey of techniques for internet traffic classification using machine learning (2008)Mining Multi-label Data (2009)Mining Multi-label Data
36 of 37 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
C4.5: Programs for Machine Learning199223,704
Artificial intelligence: a modern approach199522,262
Classification and Regression Trees.198621,044
Genetic Algorithms in Search, Optimization and Machine Learning198817,777
Bagging Predictors199617,191
Bagging predictors199616,468
Induction of Decision Trees198615,020
Induction of decision trees198612,427
The perceptron: A probabilistic model for information storage and organization in the bra…195811,965
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection199510,743
UCI Repository of machine learning databases199810,546
Stacked generalization19927,777
Instance-Based Learning Algorithms19914,128
Neural Networks and the Bias/Variance Dilemma19923,612
The Strength of Weak Learnability19903,344
A Practical Approach to Feature Selection19922,996
Pattern recognition : a statistical approach19822,927
Instance-based learning algorithms19912,917
The strength of weak learnability19902,477
Irrelevant Features and the Subset Selection Problem19942,388
UCI Repository of Machine Learning Databases19962,343
Machine Learning, Neural and Statistical Classification19952,193
The Weighted Majority Algorithm19942,034
The feature selection problem: traditional methods and a new algorithm19921,839
Neural Network Ensembles, Cross Validation, and Active Learning19941,803
Boosting a Weak Learning Algorithm by Majority19951,691
Proceedings of the 20th conference on Uncertainty in artificial intelligence20041,548

What cites it, inside the corpus

PaperYearCited
Feature Selection with the Boruta Package20105,387
Bayesian Network Classifiers19974,754
Machine learning applications in cancer prognosis and prediction20143,382
Selection of relevant features and examples in machine learning19973,309
Variable selection using random forests20102,615
An extensive empirical study of feature selection metrics for text classification20032,390
A Survey on Evolutionary Computation Approaches to Feature Selection20151,845
A survey of techniques for internet traffic classification using machine learning20081,664
Mining Multi-label Data20091,410

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Topics

Machine Learning and Data ClassificationComputer Science
Imbalanced Data Classification TechniquesComputer Science
Face and Expression RecognitionComputer Science

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complete

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  • supports2 author record(s) attached.
  • supports195 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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