Results 131 to 140 of about 60,977 (298)
Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. [PDF]
J Cheminform, 2022 Tarasova OA +4 more
europepmc +2 more sources
Geological Journal, EarlyView.This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
One Dependence Augmented Naive Bayes
, 2008 . In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple and effective classification and ranking algorithm.
Liangxiao Jiang +3 more
core
Head &Neck, EarlyView.ABSTRACT Background The benefit of consolidation programmed cell death protein 1 (PD‐1) blockade after chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma (NPC) remains unclear. Methods Patients with stages II–IVB NPC were randomized (2:1) to pembrolizumab 200 mg or placebo every 3 weeks for up to 17 cycles after chemoradiotherapy ...
Sang Hoon Chun +11 more
wiley +1 more source
Parametric design method of building structured cabling system oriented to data mining
IET Networks, EarlyView., 2022 This paper puts forward the method of secondary development and design software through the research of building structured cabling system (SCS), and uses data mining technology to carry out parametric design of building SCS. Then, the feasibility of the design is tested by comparing the data of the traditional design and the parametric design ...
Bing Wang, Wei Yue
wiley +1 more source
Pairwise Naive Bayes Classifier
, 2006 Class binarizations are effective methods that break multi-class problem down into several 2-class or binary problems to improve weak learners. This paper analyzes which effects these methods have if we choose a Naive Bayes learner for the base ...
Sulzmann, Jan-Nikolas
core
Autonomous Face Classification Online Self-Training System Using Pretrained ResNet50 and Multinomial Naïve Bayes. [PDF]
Sensors (Basel), 2023 Maciura Ł +4 more
europepmc +1 more source
Bayes' Theorem and Naive Bayes Classifier
This article gives a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from the fundamental elements of probability theory, this article outlines all steps leading to one of
Berrar, Daniel
core
Pairwise Naive Bayes Classifier
, 2011 Class binarizations are effective methods that break multi-class problem down into several 2- class or binary problems to improve weak learners. This paper analyzes which effects these methods have if we choose a Naive Bayes learner for the base ...
Sulzmann, Jan-Nikolas
core