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Statistical Data Modeling and Machine Learning with Applications II

Statistical Data Modeling and Machine Learning with Applications II

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The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.

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Keywords

  • Air Pollution
  • anomaly detection
  • arcing
  • ARIMA errors
  • artificial neural network
  • bagging
  • Bayesian networks
  • boosting
  • causality
  • Classification
  • composite quantile regression
  • Computer science
  • Computing & information technology
  • Cosmic Rays
  • credit card frauds
  • CT image
  • data analysis
  • data integration
  • decision trees
  • deep learning
  • digital sequences
  • Economics, finance, business & management
  • electricity energy consumption
  • Explainableartificial intelligence
  • forecasting model
  • fraud classification
  • Gambling
  • gaussian process latent variable model
  • grey model
  • group lasso penalty
  • Industry & industrial studies
  • influencing factors
  • Information technology industries
  • ionospheric parameters
  • IoV
  • jackpot
  • K-Means
  • Laplace error penalty (LEP)
  • lattice sequences
  • leisure time
  • LightGBM
  • line elements
  • line geometry
  • linear stacked model
  • long short-term memory
  • lung cancer
  • Machine learning
  • Media, information & communication industries
  • meteorological parameters
  • MIMO averaging strategy
  • monte carlo methods
  • multi-agent architecture
  • multi-scale
  • multi-step ahead prediction
  • multidimensional integrals
  • n/a
  • network estimation
  • neural network NARX
  • neural networks
  • one-stage detector
  • prediction
  • random forest
  • receptive field
  • régression
  • rotation CART ensemble
  • SCAD
  • Scalability
  • SHAP
  • simplified selective ensemble
  • single-index models
  • Space Weather
  • stability selection
  • surface approximation
  • surface denoising
  • surface segmentation
  • thema EDItEUR::U Computing and Information Technology::UY Computer science
  • time allocation
  • Time series model
  • traffic incidents
  • tumor
  • unmeasured forecast
  • wavelet transform
  • xNN
  • YOLO

Links

DOI: 10.3390/books978-3-0365-8201-6

Editions

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