Search Results - (( _ distribution svm algorithm ) OR ( peer evaluation ((new algorithm) OR (based algorithm)) ))
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…The main keys of the new classifier are based on the new kernel method, new learning metric and a new optimization algorithm in order to optimize the SVM decision function. …”
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Thesis -
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An automated high-accuracy detection scheme for myocardial ischemia based on multi-lead long-interval ECG and Choi-Williams time-frequency analysis incorporating a multi-class SVM...
Published 2021“…This scheme involves an observation of the changes in ischemic-related ECG components (ST segment and PR segment) by way of the Choi-Williams time-frequency distribution to extract ST and PR features. These extracted features are mapped to a multi-class SVM classifier for training in the detection of unknown conditions to determine if they are normal or ischemic. …”
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Classification of imbalanced travel mode choice to work data using adjustable svm model
Published 2021“…For the majority class, the accuracy improvement was substantial. This algorithm can be applied to other tasks in the transport planning domain that deal with uneven data distribution. …”
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Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis
Published 2016“…The age range was classified using SVM and Multi-SVM classifier and the performance evaluation was tested on FG-NET database. …”
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Predicting Customer Buying Decisions for Online Shopping with Unbalanced Data Set
Published 2022“…The algorithms involved were K-Nearest Neighbor (KNN), Naïve Bayers, J48, Support Vector Machine (SVM), Sequential Minimal Optimization (SMO) and Multilayer Perceptron (MLP). …”
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A stylometry approach for blind linguistic steganalysis model against translation-based steganography
Published 2023“…However, accuracy of blind steganalysis algorithms highly depend on the features selected from the input data especially when attacking embedding techniques in TBS. …”
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A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The overall accuracy of the Support Vector Machine SVM and Random Forest RF classifiers revealed that three of the six algorithms exhibited higher ranks in the landslide detection. …”
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A block cipher based on genetic algorithm
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Estimation-based Metaheuristics: A New Branch of Computational Intelligence
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Conference or Workshop Item
