4 Art�culos

Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks

Acceso

en l�nea

Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh

This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (... ver m�s

Revista: Information Formato: Electr�nico

Tabla de contenido: Vol: 14 Num: 0 Par: 5 A�o: 2023

A Novel Virtual Sample Generation Method to Overcome the Small Sample Size Problem in Computer Aided Medical Diagnosing

Acceso

en l�nea

Mohammad Wedyan, Alessandro Crippa and Adel Al-Jumaily

Deep neural networks are successful learning tools for building nonlinear models. However, a robust deep learning-based classification model needs a large dataset. Indeed, these models are often unstable when they use small datasets. To solve this issue,... ver m�s

Revista: Algorithms Formato: Electr�nico

Tabla de contenido: Vol: 12 Num: 0 Par: 8 A�o: 2019

« Anterior P�gina: 1 de 1 Siguiente »