De-noising and Feature Enhancement of fMRI Data Based on Naive Bayesian Link Prediction

2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) ◽

10.1109/icivc.2018.8492845 ◽

2018 ◽

Author(s):

Jin Huang ◽

Xue Mei ◽

Xiao Wang

Keyword(s):

Link Prediction ◽

Fmri Data ◽

Naive Bayesian ◽

Feature Enhancement ◽

Naïve Bayesian

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PILHNB: Popularity, Interests, Location used Hidden Naive Bayesian-based model for Link Prediction in Dynamic Social Networks

Neurocomputing ◽

10.1016/j.neucom.2021.02.101 ◽

2021 ◽

Author(s):

Ashwini Kumar Singh ◽

K.Lakshmanan

Keyword(s):

Social Networks ◽

Link Prediction ◽

Naive Bayesian ◽

Naïve Bayesian ◽

Dynamic Social Networks

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A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories

Proceedings of the Evaluation and Assessment in Software Engineering ◽

10.1145/3383219.3383227 ◽

2020 ◽

Author(s):

Claudio Di Sipio ◽

Riccardo Rubei ◽

Davide Di Ruscio ◽

Phuong T. Nguyen

Keyword(s):

Naive Bayesian ◽

Naïve Bayesian

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Patent Text Classification Based on Naive Bayesian Method

2018 11th International Symposium on Computational Intelligence and Design (ISCID) ◽

10.1109/iscid.2018.00020 ◽

2018 ◽

Author(s):

Lizhong Xiao ◽

Guangzhong Wang ◽

Yuan Liu

Keyword(s):

Text Classification ◽

Bayesian Method ◽

Naive Bayesian ◽

Naïve Bayesian

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Alternative prior assumptions for improving the performance of naïve Bayesian classifiers

Data Mining and Knowledge Discovery ◽

10.1007/s10618-008-0101-6 ◽

2008 ◽

Vol 18 (2) ◽

pp. 183-213 ◽

Author(s):

Tzu-Tsung Wong

Keyword(s):

Bayesian Classifiers ◽

Naive Bayesian ◽

Naïve Bayesian

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Incorporating user control into recommender systems based on naive bayesian classification

Proceedings of the 2007 ACM conference on Recommender systems - RecSys '07 ◽

10.1145/1297231.1297244 ◽

2007 ◽

Author(s):

Verus Pronk ◽

Wim Verhaegh ◽

Adolf Proidl ◽

Marco Tiemann

Keyword(s):

Recommender Systems ◽

Bayesian Classification ◽

Naive Bayesian ◽

User Control ◽

Naïve Bayesian

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Equivalence between belief theories and naive bayesian fusion for systems with independent evidential data: part II, the example

Sixth International Conference of Information Fusion, 2003. Proceedings of the ◽

10.1109/icif.2003.177395 ◽

2003 ◽

Author(s):

J.J. Sudano

Keyword(s):

Naive Bayesian ◽

Naïve Bayesian ◽

Bayesian Fusion

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A Study into the Classification and Prediction of University Teachers' Workload Assessment Based on Naive Bayesian

2021 International Wireless Communications and Mobile Computing (IWCMC) ◽

10.1109/iwcmc51323.2021.9498685 ◽

2021 ◽

Author(s):

ZhanBo Liu ◽

Xiaoli Wang ◽

Ping Zhang

Keyword(s):

University Teachers ◽

Naive Bayesian ◽

Naïve Bayesian

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A Compressed Hidden Naive Bayesian Classifier

10.1109/ijcnn52387.2021.9534201 ◽

2021 ◽

Author(s):

Guiliang Ou ◽

Yulin He ◽

Joshua Zhexue Huang

Keyword(s):

Bayesian Classifier ◽

Naïve Bayesian Classifier ◽

Naive Bayesian ◽

Naive Bayesian Classifier ◽

Naïve Bayesian

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Predicting Corporate Credit Ratings Using Content Analysis of Annual Reports – A Naïve Bayesian Network Approach

Lecture Notes in Business Information Processing - Enterprise Applications, Markets and Services in the Finance Industry ◽

10.1007/978-3-319-52764-2_4 ◽

2017 ◽

pp. 47-61 ◽

Author(s):

Petr Hajek ◽

Vladimir Olej ◽

Ondrej Prochazka

Keyword(s):

Content Analysis ◽

Bayesian Network ◽

Credit Ratings ◽

Annual Reports ◽

Network Approach ◽

Naive Bayesian ◽

Corporate Credit ◽

Naïve Bayesian

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Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi4042660 ◽

2015 ◽

Vol 4 (4) ◽

pp. 2660-2680 ◽

Author(s):

Luliang Tang ◽

Xue Yang ◽

Zihan Kan ◽

Qingquan Li

Keyword(s):

Bayesian Classification ◽

Information Mining ◽

Naive Bayesian ◽

Naïve Bayesian ◽

Gps Trajectories

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