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by
Nguyen, Trung, author.
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sensor networks, machine learning, pattern recognition, embedded programming, natural language processing
by
Hau, Darren, author.
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speech domain, most deep architectures have used a Restricted Boltzmann Machine (RBM) based deep
by
Han, Jiequn, author.
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machine learning, especially in deep learning, have ushered some new hope in addressing this difficulty
by
Zeng, Tao, author.
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Conventional machine learning approaches to image analysis tasks involve the design of hand
by
Kutt, Brody, author.
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real-time tasks. Unlike traditional machine learning and deep learning encompassed by the act of
by
Thomas, Rodney Hartfield, author.
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implementation could use other machine learning classifiers such as xgboost or deep learning methods. Other
by
Noraset, Thanapon, author. (orcid)0000-0002-7080-6523
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research, machine learning models can construct general vector representations of words, also known as word
by
Antropova, Natalia, author.
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lesion's size, shape, texture, and enhancement patters. The recent advances in machine learning
by
Konkayala, Bhargava Reddy, author.
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performing models, from both traditional classification models and novel deep learning methodologies to
by
Król, Dariusz. editor.
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-Air Elements -- A Combination of Deep Learning and Hand-Designed Feature for Plant Identification based on Leaf
by
Raman, Balasubramanian. editor.
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Grayscale Document Images -- Chapter 37. Non-Regularized State Preserving Extreme Learning Machine for

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