Abstract: The twin support vector machine (TWSVM) classifier and its fuzzy variant fuzzy twin support vector machine (FTSVM) have received considerable attention due to their low computational ...
Here’s some quick stats from the National Weather Service: a five-day forecast is accurate 90% of the time, a seven-day forecast is accurate 80% of the time, but at 10 days… that number drops to about ...
ABSTRACT: A binary complete decision table with many-valued decisions is a table with n attributes and 2 n pairwise distinct rows filled with numbers from the set { 0,1 } . Each row of this table is ...
Introduction: Aging is associated with a decline in essential cognitive functions such as language processing, memory, and attention, which significantly impacts the quality of life in later years.
ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...
Abstract: Open set recognition (OSR) effectively enhances the reliability of pattern recognition systems by accurately identifying samples of unknown classes. However, the decision-making process in ...
This project introduces a framework that combines deep learning and probabilistic graphical models to improve the accuracy of electroencephalography (EEG) pattern recognition. By integrating UNet for ...
Centre for Computational Neuroscience and Robotics, School of Engineering and Informatics, University of Sussex, Brighton, UK Supervised pattern recognition is the process of mapping patterns to class ...
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