Who Cited It

Bayesian Network Classifiers

1997 · Machine Learning · 4,754 citations · 10 from inside this corpus

Nir Friedman, Dan Geiger, Moisés Goldszmidt low

No abstract in the source record.

Bayesian Network Classifiers (1997)Bayesian Network ClassifiersC4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Introduction to Algorithms (1991)Introduction to AlgorithmsProbabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection (1995)A Study of Cross-Validation a…Wrappers for feature subset selection (1997)Wrappers for feature subset s…Pattern Recognition and Neural Networks (1996)Pattern Recognition and Neura…A Bayesian Method for the Induction of Probabilistic Networks from Data (1992)A Bayesian Method for the Ind…Probabilistic Reasoning in Intelligent Systems (1988)Probabilistic Reasoning in In…Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (1995)Learning Bayesian Networks: T…Estimating Continuous Distributions in Bayesian Classifiers (2013)Estimating Continuous Distrib…Irrelevant Features and the Subset Selection Problem (1994)Irrelevant Features and the S…A Bayesian method for the induction of probabilistic networks from data (1992)A Bayesian method for the ind…Learning Bayesian networks: The combination of knowledge and statistical data (1995)Learning Bayesian networks: T…UCI Repository of Machine Learning Databases (1994)UCI Repository of Machine Lea…Elements of Information Theory (1992)Elements of Information TheorySemi-Supervised Learning (2006)Semi-Supervised LearningBayesian Networks and Decision Graphs (2007)Bayesian Networks and Decisio…Supervised Machine Learning: A Review of Classification Techniques (2007)Supervised Machine Learning: …A comparison of event models for naive bayes text classification (1998)A comparison of event models …On the Optimality of the Simple Bayesian Classifier under Zero-One Loss (1997)An empirical study of the naive Bayes classifier (2001)An empirical study of the nai…CLASSIFICATION OF IMBALANCED DATA: A REVIEW (2009)CLASSIFICATION OF IMBALANCED …Introduction to Machine Learning (2019)Introduction to Machine Learn…Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…Cost-sensitive boosting for classification of imbalanced data (2007)Cost-sensitive boosting for c…
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What this paper cites, inside the corpus

PaperYearCited
C4.5: Programs for Machine Learning199223,704
Introduction to Algorithms199117,031
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection199510,743
Wrappers for feature subset selection19978,991
Pattern Recognition and Neural Networks19966,514
A Bayesian Method for the Induction of Probabilistic Networks from Data19923,530
Probabilistic Reasoning in Intelligent Systems19883,339
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data19953,262
Estimating Continuous Distributions in Bayesian Classifiers20132,925
Irrelevant Features and the Subset Selection Problem19942,388
A Bayesian method for the induction of probabilistic networks from data19922,348
Learning Bayesian networks: The combination of knowledge and statistical data19952,045
UCI Repository of Machine Learning Databases19941,812
Elements of Information Theory19921,425

What cites it, inside the corpus

PaperYearCited
Semi-Supervised Learning20064,334
Bayesian Networks and Decision Graphs20074,152
Supervised Machine Learning: A Review of Classification Techniques20074,149
A comparison of event models for naive bayes text classification19983,225
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss19973,099
An empirical study of the naive Bayes classifier20012,548
CLASSIFICATION OF IMBALANCED DATA: A REVIEW20091,713
Introduction to Machine Learning20191,620
Machine learning: a review of classification and combining techniques20061,562
Cost-sensitive boosting for classification of imbalanced data20071,438

Links

DOI · Open access copy · OpenAlex record

Topics

Bayesian Modeling and Causal InferenceComputer Science
Rough Sets and Fuzzy LogicComputer Science
Data Mining Algorithms and ApplicationsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports74 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 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…