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IEEE7mon
Linear Support Vector Machine and Logistic Regression for Cerebral Infarction Classification
Abstract: Stroke, as one of Global Burden Disease (GBD), obstructing the flow of ... learning algorithm for appropriate and early diagnosis of patients with cerebral infarction by comparing linear ...
SciELO8mon
An Early Prediction of Tumor in Heart by Cardiac Masses Classification in Echocardiogram Images Using Robust Back Propagation Neural Network Classifier
State of art techniques classification of the conventional classifier The accuracy 98.85% achieved using our proposed RBPNN classifier is better than other state-of-the-arts techniques are SVM ... The ...
Business Wire1y
Flow Security Unveils the First DSPM Solution to Harness LLM in Unstructured Data Classification
Flow Security was the first DSPM vendor to realize that LLMs could take data classification technology to a whole new level. Unlike traditional NER algorithms, LLMs recognize a wide range of data ...
SciELO2y
Virus Texture Classification of TEM Images Using Fusion of Chebyshev Moments and Resnet50 Features
The outline of the proposed algorithm is shown as a flow chart ... discriminant classification, 88.33% with linear classification and 62.33% with tree classification are obtained. The best ...
Frontiers3y
Identification and Classification of Parkinsonian and Essential Tremors for Diagnosis Using Machine Learning Algorithms
Seven predictive models using machine learning algorithms including random forest (RF), eXtreme Gradient Boosting (XGBoost), support vector machine (SVM), logistic regression (LR), ridge ...
Frontiers3y
Beef Cut Classification Using Multispectral Imaging and Machine Learning Method
Linear discriminant analysis (LDA), support vector machine ... The classification accuracy of different classifier and feature sets were further compared. Details of every step are described in the ...
Scientific Research Publishing4y
Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review ()
In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms ... SVM instead is because the problem might not be ...
GitHub15y
Software requirements classification using machine learning algorithms
The original data set has represented the primary data source for numerous previous research publications concerning automated classification ... original algorithm of Canedo et Mendes [2]. For the ...