„Vector Processing“
Suchergebnisse
1.091 Treffer
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Twin-parametric margin support vector machine with truncated pinball loss
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Density-weighted support vector machines for binary class imbalance learning
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Evaluating the bond strength of FRP-to-concrete composite joints using metaheuristic-optimized least-squares support vector regression
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LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
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Ramp-based twin support vector clustering
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Multi-step least squares support vector machine modeling approach for forecasting short-term electricity demand with application
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A support vector regression model for the prediction of total polyaromatic hydrocarbons in soil: an artificial intelligent system for mapping environmental pollution
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Subdata image encryption scheme based on compressive sensing and vector quantization
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An enhanced KNN-based twin support vector machine with stable learning rules
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Incorporating monotonic domain knowledge in support vector learning for data mining regression problems
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An enhanced reference vectors-based multi-objective evolutionary algorithm with neighborhood-based adaptive adjustment
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Robust twin support vector regression based on Huber loss function
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Ant colony optimization edge selection for support vector machine speed optimization
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Facial expression recognition using three-stage support vector machines
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Multi-task $$\nu$$ ν -twin support vector machines
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Functional iterative approaches for solving support vector classification problems based on generalized Huber loss
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Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines
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Short-term solar power prediction using multi-kernel-based random vector functional link with water cycle algorithm-based parameter optimization
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Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG
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Prediction of fresh and hardened properties of self-compacting concrete using support vector regression approach