Machine Learning for Pattern Recognition (2nd Edition)

In the recent digital age, machine learning technology has made significant progress, revolutionizing applications in fields such as image recognition, speech processing, and natural language processing. These technologies have not only changed our daily lives but have also had a profound impact on...

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Detalles Bibliográficos
Formato:	Online
Idioma:	inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Subjects:	Deep learning algorithm Convolutional neural network Pipeline Corrosion Pinhole Finite element analysis Magnetic flux leakage signal Enzyme Peptide Binding Support vector machine Physicochemical features Sequential features Uncertainty estimation for embedding vectors Model uncertainty Data uncertainty Distributional uncertainty Re-identification Out-of-distribution Spectral response MSFA one-shot Deep learning Multispectral image Data augmentation Generative adversarial networks GANs Information security Voiceprint recognition UAV (unmanned aerial vehicle) UAV datasets Object detection Semantic segmentation Action recognition Event recognition Aerial Surveillance Padé approximation Moments Nonparametric probability estimation Centrifugal chiller system Reinforcement learning Deep learning neural network Hate speech detection Hate speech classification Two-layer approach Machine learning Electric vehicles Energy consumption Driving pattern recognition Representative driving cycles Optimization thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Acceso en liña:	ONIX_20260416T142754_9783725863501_9
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Machine Learning for Pattern Recognition (2nd Edition)

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