A Naive-Bayes approach to Bolstered error estimation in high-dimensional spaces

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2014.7032357 ◽

2014 ◽

Author(s):

Xingde Jiang ◽

Ulisses Braga-Neto

Keyword(s):

Error Estimation ◽

Naive Bayes ◽

Naïve Bayes ◽

High Dimensional ◽

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A Naïve Bayes approach to map customer requirements to product variants

Journal of Intelligent Manufacturing ◽

10.1007/s10845-013-0806-2 ◽

2013 ◽

Vol 26 (3) ◽

pp. 501-509 ◽

Author(s):

Yue Wang ◽

Mitchell M. Tseng

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Customer Requirements ◽

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Predicting peptide bond conformation using feature selection and the Naive Bayes approach

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2007.4353465 ◽

2007 ◽

Author(s):

Kostas P. Exarchos ◽

Themis P. Exarchos ◽

Costas Papaloukas ◽

Anastassios N. Troganis ◽

Dimitrios I. Fotiadis

Keyword(s):

Feature Selection ◽

Naive Bayes ◽

Peptide Bond ◽

Naïve Bayes ◽

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Naive Bayes combined with partial least squares for classification of high dimensional microarray data

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2022.104492 ◽

2022 ◽

pp. 104492

Author(s):

Tahir Mehmood ◽

Arzoo Kanwal ◽

Muhammad Moeen Butt

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Microarray Data ◽

Naive Bayes ◽

Naïve Bayes ◽

High Dimensional

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Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach

PRICAI 2008: Trends in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-89197-0_73 ◽

2008 ◽

pp. 788-798 ◽

Author(s):

Cao D. Nguyen ◽

Katheleen J. Gardiner ◽

Duong Nguyen ◽

Krzysztof J. Cios

Keyword(s):

Protein Interaction ◽

Naive Bayes ◽

Naïve Bayes ◽

Protein Interaction Networks ◽

Interaction Networks ◽

Protein Functions ◽

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Naive Bayes approach to predict the winner of an ODI cricket game

Journal of Sports Analytics ◽

10.3233/jsa-200436 ◽

2020 ◽

Vol 6 (2) ◽

pp. 75-84

Author(s):

I. Wickramasinghe

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

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A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions

2009 Ninth IEEE International Conference on Data Mining ◽

10.1109/icdm.2009.85 ◽

2009 ◽

Author(s):

Carlos N. Silla Jr. ◽

Alex A. Freitas

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Global Model ◽

Protein Functions ◽

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Automated feature weighting in naive bayes for high-dimensional data classification

Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12 ◽

10.1145/2396761.2398426 ◽

2012 ◽

Author(s):

Lifei Chen ◽

Shengrui Wang

Keyword(s):

Naive Bayes ◽

High Dimensional Data ◽

Data Classification ◽

Naïve Bayes ◽

Feature Weighting ◽

High Dimensional

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Q-Learning with Naïve Bayes Approach Towards More Engaging Game Agents

2018 International Conference on Artificial Intelligence and Data Processing (IDAP) ◽

10.1109/idap.2018.8620897 ◽

2018 ◽

Author(s):

Osman Yilmaz ◽

Ufuk Celikcan

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

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Testing the statistical significance of an ultra-high-dimensional naïve Bayes classifier

Statistics and Its Interface ◽

10.4310/sii.2013.v6.n2.a6 ◽

2013 ◽

Vol 6 (2) ◽

pp. 223-229 ◽

Author(s):

Baiguo An ◽

Jianhua Guo ◽

Hansheng Wang

Keyword(s):

Naive Bayes ◽

Statistical Significance ◽

Naïve Bayes ◽

High Dimensional ◽

Naive Bayes Classifier ◽

Bayes Classifier ◽

Naïve Bayes Classifier

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Naïve Bayes Approach for the Crime Prediction in Data Mining

International Journal of Computer Applications ◽

10.5120/ijca2019918907 ◽

2019 ◽

Vol 178 (14) ◽

pp. 33-37 ◽

Author(s):

Mrinalini Jangra ◽

Shaveta Kalsi

Keyword(s):

Data Mining ◽

Naive Bayes ◽

Naïve Bayes ◽

Crime Prediction ◽

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