Výsledky vyhľadávania - fine-tuning naive Bayesian algorithm

Fine tuning the Naïve Bayesian learning algorithm

Autori: Khalil M. El Hindi

Zdroj: AI Communications. 27:133-141

Predmety: 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://content.iospress.com/articles/ai-communications/aic588
https://dblp.uni-trier.de/db/journals/aicom/aicom27.html#Hindi14
https://dl.acm.org/doi/10.5555/2636460.2636463
http://fac.ksu.edu.sa/sites/default/files/aic588_as_published_no_wm.pdf

A noise tolerant fine tuning algorithm for the Naïve Bayesian learning algorithm

Autori: Khalil El Hindi

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 26, Iss 2, Pp 237-246 (2014)

Predmety: Machine learning, Naive Bayesian learning, Noise handling, Overfitting, Instance weighing, Electronic computers. Computer science, QA75.5-76.95

Relation: http://www.sciencedirect.com/science/article/pii/S1319157814000093; https://doaj.org/toc/1319-1578; https://doaj.org/article/c4cf056d252e43fb8a3dd8ad03728fc2

Dostupnosť: https://doi.org/10.1016/j.jksuci.2014.03.008
https://doaj.org/article/c4cf056d252e43fb8a3dd8ad03728fc2

A noise tolerant fine tuning algorithm for the Naïve Bayesian learning algorithm.

Autori: El Hindi, Khalil¹ khindi@ksu.edu.sa

Zdroj: Journal of King Saud University - Computer & Information Sciences. Jul2014, Vol. 26 Issue 2, p237-246. 10p.

Predmety: Bayesian analysis, Probability theory, Empirical research, Performance evaluation, Estimation theory, Set theory

Building an Ensemble of Fine-Tuned Naive Bayesian Classifiers for Text Classification

Autori: Khalil El Hindi Hussien AlSalamn Safwan Qassim a ďalší

Zdroj: Entropy, Vol 20, Iss 11, p 857 (2018)

Predmety: text classification, ensembles of classifiers, naive Bayesian learning, fine-tuning naive Bayesian algorithm, machine learning, Science, Astrophysics, QB460-466, Physics, QC1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1099-4300/20/11/857; https://doaj.org/toc/1099-4300

Prístupová URL adresa: https://doaj.org/article/467e519842cc49e5a27368f9fa1bf362

Lazy fine-tuning algorithms for naïve Bayesian text classification

Autori: El Hindi, Khalil M. Aljulaidan, Reem R. AlSalman, Hussien a ďalší

Prispievatelia: El Hindi, Khalil M. Aljulaidan, Reem R. AlSalman, Hussien a ďalší

Zdroj: Applied Soft Computing ; volume 96, page 106652 ; ISSN 1568-4946

Dostupnosť: http://dx.doi.org/10.1016/j.asoc.2020.106652
https://api.elsevier.com/content/article/PII:S1568494620305901?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S1568494620305901?httpAccept=text/plain

Combining Instance Weighting and Fine Tuning for Training Naïve Bayesian Classifiers with Scant Training Data.

Autori: Hindi, Khalil El¹

Zdroj: International Arab Journal of Information Technology (IAJIT). Nov2018, Vol. 15 Issue 6, p1099-1106. 8p.

Using differential evolution for fine tuning naïve Bayesian classifiers and its application for text classification.

Autori: Diab, Diab M. El Hindi, Khalil M.

Zdroj: Applied Soft Computing. May2017, Vol. 54, p183-199. 17p.

Predmety: Naive Bayes classification, Genetic algorithms, Metaheuristic algorithms, Combinatorial optimization, Evolutionary computation

Selectively Fine-Tuning Bayesian Network Learning Algorithm.

Autori: Alhussan, Amel El Hindi, Khalil

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence. Sep2016, Vol. 30 Issue 8, p-1. 36p.

Predmety: *BAYESIAN analysis, *PROBABILITY theory, *ESTIMATION theory, MACHINE learning, CLASSIFICATION algorithms

Design of Computer-Aided Translation System Based on Naive Bayesian Algorithm.

Autori: Li, Zhiqiang Huang, Juning Zhong, Weixuan

Zdroj: Computational Intelligence & Neuroscience; 9/6/2022, p1-10, 10p

Predmety: COMPUTER-aided design, MACHINE translating, SOFTWARE localization, ALGORITHMS, TRANSLATING & interpreting, CLASSIFICATION algorithms

Fine tuning the Naïve Bayesian learning algorithm.

Autori: El Hindi, Khalil

Zdroj: AI Communications; 2014, Vol. 27 Issue 2, p133-141, 9p

Predmety: BAYESIAN analysis, MACHINE learning, TRAINING, PROBABILITY theory, DATA analysis, FREQUENCY tuning

Application of improved Naive Bayes classification algorithm in 5G signaling analysis.

Autori: Wang, Wanwan Duan, Yu Cao, Longhan a ďalší

Zdroj: Journal of Supercomputing; Apr2023, Vol. 79 Issue 6, p6941-6964, 24p

Predmety: CLASSIFICATION algorithms, TELECOMMUNICATION, SIGNAL classification, SIGNAL processing, WIRELESS communications, NAIVE Bayes classification

Application of improved distributed naive Bayesian algorithms in text classification.

Autori: Gao, Hongyi Zeng, Xi Yao, Chunhua

Zdroj: Journal of Supercomputing; Sep2019, Vol. 75 Issue 9, p5831-5847, 17p

Predmety: NAIVE Bayes classification, CLASSIFICATION algorithms, VECTOR spaces, FEATURE selection, WEBSITES, DATA mining

Deep Embedding Sentiment Analysis on Product Reviews Using Naive Bayesian Classifier

Autori: Manda Prathyusha Nukabathini Mary Saroj Sahithya Nakkala Rachana a ďalší

Zdroj: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :858-864

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://ijsrcseit.com/paper/CSEIT1952178.pdf
https://ijsrcseit.com/CSEIT1952178

Complement Class Fine-Tuning of Naïve Bayes for Severely Imbalanced Datasets

Autori: Fahad S. Alenazi Khalil El Hindi Basil AsSadhan

Predmety: artificial_intelligence_robotics

Popis súboru: application/pdf

A Hybrid Feature Selection Method Based on Rough Conditional Mutual Information and Naive Bayesian Classifier.

Autori: Zilin Zeng Hongjun Zhang Rui Zhang a ďalší

Zdroj: ISRN Otolaryngology; 2014, p1-11, 11p

Predmety: FEATURE selection, BAYESIAN analysis, CLASSIFIERS (Linguistics), CONDITIONAL probability, ALGORITHMS, SHANNON'S model (Communication)

Fault Detection and Diagnosis Method of Distributed Photovoltaic Array Based on Fine-Tuning Naive Bayesian Model.

Autori: He, Weiguo Yin, Deyang Zhang, Kaifeng a ďalší

Zdroj: Energies (19961073); Jul2021, Vol. 14 Issue 14, p4140-4140, 1p

Predmety: FAULT diagnosis, DIAGNOSIS, SHORT circuits, PHOTOVOLTAIC power systems

Maximizing Campus Placement Through Machine Learning.

Autori: Byagar, Sarita Patil, Ranjit Pawar, Janardan

Zdroj: Journal of Advanced Zoology. 2024 Supplement, Vol. 45, p6-12. 19p.

Building an Ensemble of Fine-Tuned Naive Bayesian Classifiers for Text Classification.

Autori: El Hindi, Khalil AlSalman, Hussien Qasem, Safwan a ďalší

Zdroj: Entropy; Nov2018, Vol. 20 Issue 11, p857, 1p

Predmety: NAIVE Bayes classification, MACHINE learning, EMPIRICAL research, INFORMATION retrieval, SPAM email

An intelligent diagnostic method for porcine gastrointestinal infectious diseases based on multimodal AI and large language model.

Autori: Wen, Haiyan Shi, Hongtao Yu, Jiashang a ďalší

Zdroj: Frontiers in Veterinary Science. 2025, p1-15. 15p.

Stabbing of Intrusion with Learning Framework Using Auto Encoder Based Intellectual Enhanced Linear Support Vector Machine for Feature Dimensionality Reduction.

Autori: Kumar, Yadala Prabhu Babu, Burra Vijaya

Zdroj: Revue d'Intelligence Artificielle; Oct2022, Vol. 36 Issue 5, p737-743, 7p

Predmety: INTRUSION detection systems (Computer security), SUPPORT vector machines, STABBINGS (Crime), COMPUTER network security, RANDOM forest algorithms