Applied Machine Learning Ⅱ

This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, and machine learning models; undertake...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2024
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Online Access:ONIX_20240514_9783725800735_341
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_version_ 1869518105135284224
collection Directory of Open Access Books
description This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, and machine learning models; undertakes critical comparisons with existing techniques; and presents an interpretation of the results. This reprint strives not only to showcase the prolific applications of machine learning, but also to provide insights into the methodologies and interpretations that underpin these advancements.
format Online
id doab-20.500.12854ir-137745
institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1377452024-05-14T14:19:29Z Applied Machine Learning Ⅱ Dudek, Grzegorz activity recognition machine learning wearable sensors spinal cord injury telerehabilitation consumer analysis cost-sensitive learning imbalanced dataset over-the-top training data update demand forecasting smart manufacturing artificial intelligence supply chain agility digital twin path planning unmanned aerial vehicles neural networks evolutionary algorithms visible light communications (VLC) gesture recognition (GR) human-computer interaction (HCI) human activity recognition (HAR) machine learning (ML) neural network long short-term memory (LSTM) photo-diode (PD) road traffic accidents data analysis missing data dimensionality reduction textual analysis emotional tone financial crisis early warning DNA computer biochips queue automata type IIB endonucleases COVID-19 prediction medical diagnosis optimisation Generative Adversarial Networks Wasserstein GAN regression multi-output regression multi-modal distributions computer vision object detection human detection convolutional neural networks natural language controlled natural language natural language processing privacy policies social networks n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, and machine learning models; undertakes critical comparisons with existing techniques; and presents an interpretation of the results. This reprint strives not only to showcase the prolific applications of machine learning, but also to provide insights into the methodologies and interpretations that underpin these advancements. 2024-05-14T14:19:25Z 2024-05-14T14:19:25Z 2024 book ONIX_20240514_9783725800735_341 9783725800735 9783725800742 https://directory.doabooks.org/handle/20.500.12854/137745 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8975 https://mdpi.com/books/pdfview/book/8975 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0074-2 10.3390/books978-3-7258-0074-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725800735 9783725800742 248 open access
spellingShingle activity recognition
machine learning
wearable sensors
spinal cord injury
telerehabilitation
consumer analysis
cost-sensitive learning
imbalanced dataset
over-the-top
training data update
demand forecasting
smart manufacturing
artificial intelligence
supply chain agility
digital twin
path planning
unmanned aerial vehicles
neural networks
evolutionary algorithms
visible light communications (VLC)
gesture recognition (GR)
human-computer interaction (HCI)
human activity recognition (HAR)
machine learning (ML)
neural network
long short-term memory (LSTM)
photo-diode (PD)
road traffic accidents
data analysis
missing data
dimensionality reduction
textual analysis
emotional tone
financial crisis early warning
DNA computer
biochips
queue automata
type IIB endonucleases
COVID-19
prediction
medical diagnosis optimisation
Generative Adversarial Networks
Wasserstein GAN
regression
multi-output regression
multi-modal distributions
computer vision
object detection
human detection
convolutional neural networks
natural language
controlled natural language
natural language processing
privacy policies
social networks
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Applied Machine Learning Ⅱ
title Applied Machine Learning Ⅱ
title_full Applied Machine Learning Ⅱ
title_fullStr Applied Machine Learning Ⅱ
title_full_unstemmed Applied Machine Learning Ⅱ
title_short Applied Machine Learning Ⅱ
title_sort applied machine learning ii
topic activity recognition
machine learning
wearable sensors
spinal cord injury
telerehabilitation
consumer analysis
cost-sensitive learning
imbalanced dataset
over-the-top
training data update
demand forecasting
smart manufacturing
artificial intelligence
supply chain agility
digital twin
path planning
unmanned aerial vehicles
neural networks
evolutionary algorithms
visible light communications (VLC)
gesture recognition (GR)
human-computer interaction (HCI)
human activity recognition (HAR)
machine learning (ML)
neural network
long short-term memory (LSTM)
photo-diode (PD)
road traffic accidents
data analysis
missing data
dimensionality reduction
textual analysis
emotional tone
financial crisis early warning
DNA computer
biochips
queue automata
type IIB endonucleases
COVID-19
prediction
medical diagnosis optimisation
Generative Adversarial Networks
Wasserstein GAN
regression
multi-output regression
multi-modal distributions
computer vision
object detection
human detection
convolutional neural networks
natural language
controlled natural language
natural language processing
privacy policies
social networks
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet activity recognition
machine learning
wearable sensors
spinal cord injury
telerehabilitation
consumer analysis
cost-sensitive learning
imbalanced dataset
over-the-top
training data update
demand forecasting
smart manufacturing
artificial intelligence
supply chain agility
digital twin
path planning
unmanned aerial vehicles
neural networks
evolutionary algorithms
visible light communications (VLC)
gesture recognition (GR)
human-computer interaction (HCI)
human activity recognition (HAR)
machine learning (ML)
neural network
long short-term memory (LSTM)
photo-diode (PD)
road traffic accidents
data analysis
missing data
dimensionality reduction
textual analysis
emotional tone
financial crisis early warning
DNA computer
biochips
queue automata
type IIB endonucleases
COVID-19
prediction
medical diagnosis optimisation
Generative Adversarial Networks
Wasserstein GAN
regression
multi-output regression
multi-modal distributions
computer vision
object detection
human detection
convolutional neural networks
natural language
controlled natural language
natural language processing
privacy policies
social networks
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url ONIX_20240514_9783725800735_341