Results 131 to 140 of about 131,003 (284)

Improved incremental algorithm of Naive Bayes

Tongxin xuebao, 2016
A novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the ...
Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU   +3 more
doaj   +2 more sources

Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. [PDF]

J Cheminform, 2022
Tarasova OA, Rudik AV, Biziukova NY, Filimonov DA, Poroikov VV.   +4 more
europepmc   +2 more sources

Naïve Bayes evidence accumulation K-modes clustering: A new method for classifying binary data and its application on real data of injecting drug users

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: Clustering is the method of classifying discrete data such as Kmodes, and Naïve Bayes classifier is the classification to predict the unknown real classes.
Zahra Zamaninasab, Hamid Sharifi, Abbas Bahrampour   +2 more
doaj  

Interplay Between Green Investment and Market Price Premia in Global Shipping

International Journal of Finance &Economics, EarlyView.
ABSTRACT Existing research emphasises that the driver of green investment is its future profitability. This paper shows that other investors' decisions also influence green investment. We take the example of scrubber installation in shipping, which is optional by regulation but has an established market for trading its underlying asset.
Yao Shi, Nikos C. Papapostolou, Malvina Marchese, Ioannis C. Moutzouris, Angelos Efstathiou   +4 more
wiley   +1 more source

Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes. [PDF]

Sensors (Basel), 2023
Maciura Ł, Cieplak T, Pliszczuk D, Maj M, Rymarczyk T.   +4 more
europepmc   +1 more source

Naive Bayes Learning of Dermoscopy Images

, 2019
We show naive Bayes models of the melanoma skin cancer represented by dermoscopy images from two different repositories. The dermoscopy images of each data set are recursively analyzed by the Mallat wavelet tree transform to extract a set of spatio-frequency filters, which are used to build energy based (rotation invariant) features.
Grzegorz Surówka, Maciej Ogorzałek
openaire   +2 more sources

Functionally complementary bacterial inoculant coordinates arbuscular mycorrhizal fungi to improve Angelica sinensis root yield and quality

iMetaOmics, EarlyView.
Comprehensive understanding of how diverse PGPR strains enhance the rhizosphere microenvironment remains a considerable challenge. Here, we provide experimental evidence that a functionally synergistic composite microbial formulation can markedly enhance growth performance and improve the quality attributes in Angelica sinensis.
Zongyu Zhang, Yun Wang, Jiecai Zhao, Gaofeng Chen, Andéole Niyongabo Turatsinze, Liang Yue, Yuan Tian, Xiaofan Xie, Ailing Ye, Meilan Zhang, Lingling Wu, Zengxiang Guo, Yubao Zhang, Ruoyu Wang   +13 more
wiley   +1 more source

Comparison of decision tree and naïve Bayes algorithms in detecting trace residue of gasoline based on gas chromatography-mass spectrometry data. [PDF]

Forensic Sci Res, 2023
Md Ghazi MGB, Chuen Lee L, Samsudin AS, Sino H.   +3 more
europepmc   +1 more source

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

Interdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling, Shian Zhang, Jun Lin, Zhengju Xu, Runcheng Xu, Qian Lv, Kaixiang Zhang, Sheng Liu, Jie Guo, Cheng Hua, Yin Jia, Xiaoyu Xu, Kun Qian, Shanrong Liu   +13 more
wiley   +1 more source

NeuroCNN_GNB: an ensemble model to predict neuropeptides based on a convolution neural network and Gaussian naive Bayes. [PDF]

Front Genet, 2023
Liu D, Lin Z, Jia C.
europepmc   +1 more source