Naïve Bayes

By Geoffrey I. Webb. Encyclopedia of Machine Learning, 2020

627 citations recorded by the source corpus.

Subfields: Accounting, Archeology

View Paper: https://www.semanticscholar.org/paper/16c666f7d90ac04a0d0c171a508fae98bdcb5fde

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Elizaveta Levina
2. Peter J. Bickel
3. Jenny X. Sun
4. N. Solovieff
5. Paola Sebastiani

In Archeology

1. Elizaveta Levina
2. Peter J. Bickel
3. Jenny X. Sun
4. N. Solovieff
5. Paola Sebastiani

Citations in the corpus

• Covariance regularization by thresholding (2009, background): “The first class includes regularizing the covariance matrix by banding or tapering [2, 3, 17], which we will discuss below.”
• Naïve Bayesian Classifier and Genetic Risk Score for Genetic Risk Prediction of a Categorical Trait: Not so Different after all! (2012, methodology): “The formula is derived using Bayes’ theorem and assuming that the SNPs are independent, conditionally on T (Hand, 2009).”
• Regularized estimation of large covariance matrices (2008, methodology): “We have previously studied [5] the behavior of Fisher’s discriminant function for classification as opposed to the so-called “naive Bayes” procedure which is constructed under the assumption of independence of the components.”