Interval Estimation Naïve Bayes (original) (raw)

Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers

Geoffrey Webb

Lecture Notes in Computer Science, 2003

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Classification by Voting Feature Intervals

H. Altay Güvenir

Lecture Notes in Computer Science, 1997

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Interval Data Classification under Partial Information: A Chance-Constraint Approach

Aharon Ben-tal

Lecture Notes in Computer Science, 2009

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Collaborative Filtering Using Interval Estimation Naïve Bayes

Pedro Larrañaga

Lecture Notes in Computer Science

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Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation

Indika Wickramasinghe

Soft Computing, 2020

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Improvement of naive Bayes collaborative filtering using interval estimation

E. Menasalvas

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003), 2003

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Attribute Selection via a Novel Interval Based Evaluation Algorithm: Applied on Real life data sets

Mostafa Salama

MATEC Web of Conferences, 2016

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Non-disjoint discretization for naive-bayes classifiers

Geoffrey Webb

2002

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Fast Regular and Interval-based Classification, using parSITs

Annamaria Varkonyi-Koczy

2021

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An Interval Classifier for Database Mining Applications

arun e

1992

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Maximizing Benefit of Classifications Using Feature Intervals

H. Altay Güvenir

Lecture Notes in Computer Science, 2003

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Discretization for naive-Bayes learning: managing discretization bias and variance

Jaideep Srivastava

Machine Learning, 2008

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The Optimality of Naive Bayes

Harry Zhang

2004

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A NOVEL METHODOLOGY FOR CONSTRUCTING RULE-BASED NAÏVE BAYESIAN CLASSIFIERS

International Journal of Computer Science & Information Technology (IJCSIT)

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Similarity-margin based feature selection for symbolic interval data

Lyamine Hedjazi

Pattern Recognition Letters, 2011

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A Naive Bayes Style Possibilistic Classifier

Christian Borgelt

2004

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Interval-valued feature selection

Cecilio Angulo

2011

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A comparative study of semi-naive Bayes methods in classification learning

Geoffrey Webb

2005

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Optimal Multiple Intervals Discretization of Continuous Attributesfor Supervised Learning

Fabien Feschet

Knowledge Discovery and Data Mining, 1997

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A finite sample analysis of the Naive Bayes classifier

Daniel Berend

Journal of Machine Learning Research, 2015

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Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification

Marek Ogiela

The Knowledge Engineering Review, 2010

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A Comparative Study of Discretization Methods for Naive-Bayes Classifiers

Geoffrey Webb

Proceedings of PKAW, 2002

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Naive Bayes Classification for Subset Selection

Emmanuel Rachelson

ArXiv, 2017

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Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks

Rebecca Strachan

Expert Systems with Applications, 2014

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Boosting interval based literals1

Carlos Gonzalez

Intelligent Data Analysis, 2001

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Short Survey on Naive Bayes Algorithm

Dr. Sunita Dhotre

International Journal of Advance Engineering and Research Development (IJAERD), 2017

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The indifferent naive bayes classifier

Ramon Lopez De Mantaras

2003

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Study on Naive Bayesian Classifier and its relation to Information Gain

International Journal IJRITCC

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A ‘non-parametric’ version of the naive Bayes classifier

Elia Mario Biganzoli

Knowledge-Based Systems, 2011

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Scaling up the accuracy of naive-Bayes classifiers: A decision-tree hybrid

Ron Kohavi

1996

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AVT-NBL: An algorithm for learning compact and accurate naive bayes classifiers from attribute value taxonomies and data

Vasant G Honavar

Data Mining, 2004. ICDM'04. Fourth …, 2004

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