Who Cited It

On the Optimality of the Simple Bayesian Classifier under Zero-One Loss

1997 · Machine Learning · 3,099 citations · 14 from inside this corpus

Pedro Domingos, Michael J. Pazzani

No abstract in the source record.

On the Optimality of the Simple Bayesian Classifier under Zero-One Loss (1997)On the Optimality of the Simp…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Bayesian Network Classifiers (1997)Bayesian Network ClassifiersEstimating Continuous Distributions in Bayesian Classifiers (2013)Estimating Continuous Distrib…UCI Repository of Machine Learning Databases (1996)UCI Repository of Machine Lea…Scaling up the accuracy of Naive-Bayes classifiers: a decision-tree hybrid (1996)Scaling up the accuracy of Na…Machine learning in automated text categorization (2002)Machine learning in automated…Thumbs up? (2002)Thumbs up?Semi-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 few useful things to know about machine learning (2012)A few useful things to know a…A comparison of event models for naive bayes text classification (1998)A comparison of event models …Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…Markov logic networks (2006)Markov logic networksAn Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia… (1999)An Empirical Comparison of Vo…An empirical study of the naive Bayes classifier (2001)An empirical study of the nai…Naive (Bayes) at forty: The independence assumption in information retrieval (1998)Naive (Bayes) at forty: The i…The text mining handbook: advanced approaches in analyzing unstructured data (2007)The text mining handbook: adv…Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…
19 of 19 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
C4.5: Programs for Machine Learning199223,704
Bayesian Network Classifiers19974,754
Estimating Continuous Distributions in Bayesian Classifiers20132,925
UCI Repository of Machine Learning Databases19962,343
Scaling up the accuracy of Naive-Bayes classifiers: a decision-tree hybrid19961,367

What cites it, inside the corpus

PaperYearCited
Machine learning in automated text categorization20027,945
Thumbs up?20027,057
Semi-Supervised Learning20064,334
Bayesian Networks and Decision Graphs20074,152
Supervised Machine Learning: A Review of Classification Techniques20074,149
A few useful things to know about machine learning20123,338
A comparison of event models for naive bayes text classification19983,225
Text Classification from Labeled and Unlabeled Documents using EM20002,753
Markov logic networks20062,684
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…19992,656
An empirical study of the naive Bayes classifier20012,548
Naive (Bayes) at forty: The independence assumption in information retrieval19982,114
The text mining handbook: advanced approaches in analyzing unstructured data20071,626
Machine learning: a review of classification and combining techniques20061,562

Links

DOI · Open access copy · OpenAlex record

Topics

Bayesian Modeling and Causal InferenceComputer Science
Machine Learning and Data ClassificationComputer Science
Imbalanced Data Classification TechniquesComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports49 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…