Artificial Intelligence, Big Data and Data Science in Statistics
portes grátis
Artificial Intelligence, Big Data and Data Science in Statistics
Challenges and Solutions in Environmetrics, the Natural Sciences and Technology
Steland, Ansgar; Tsui, Kwok-Leung
Springer International Publishing AG
11/2022
376
Dura
Inglês
9783031071546
15 a 20 dias
Descrição não disponível.
- Part I Methodologies and Theoretical Studies. - One-Round Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors. - Scale Invariant and Robust Pattern Identification in Univariate Time Series, with Application to Growth Trend Detection in Music Streaming Data. - Fine-Tuned Parallel Piecewise Sequential Confidence Interval and Point Estimation Strategies for the Mean of a Normal Population: Big Data Context. - Statistical Learning for Change Point and Anomaly Detection in Graphs. - On the Robustness of Kernel-Based Pairwise Learning. - Global Sensitivity Analysis for the Interpretation of Machine Learning Algorithms. - Improving Gaussian Process Emulators with Boundary Information. - Part II Challenges and Solutions in Applications. - An Overview and General Framework for Spatiotemporal Modeling and Applications in Transportation and Public Health. - Introduction to Wafer Tomography: Likelihood-Based Prediction of Integrated-Circuit Yield. - Uncertainty Quantification Based on Bayesian Neural Networks for Predictive Quality. - Two Statistical Degradation Models of Batteries Under Different Operating Conditions. - Detecting Diamond Breakouts of Diamond Impregnated Tools for Core Drilling of Concrete by Force Measurements. - Visualising Complex Data Within a Data Science Loop: A Spatio-Temporal Example from Football. - Application of the Singular Spectrum Analysis on Electro luminescence Images of Thin-Film Photovoltaic Modules. - The Impact of the Lockdown Restrictions on Air Quality During COVID-19 Pandemic in Lombardy, Italy.
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Statistical Methods;Machine Learning;High-dimensional Data;Environmetrics;Statistics in Technology;Data Science;Big Data;Artificial Intelligence
- Part I Methodologies and Theoretical Studies. - One-Round Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors. - Scale Invariant and Robust Pattern Identification in Univariate Time Series, with Application to Growth Trend Detection in Music Streaming Data. - Fine-Tuned Parallel Piecewise Sequential Confidence Interval and Point Estimation Strategies for the Mean of a Normal Population: Big Data Context. - Statistical Learning for Change Point and Anomaly Detection in Graphs. - On the Robustness of Kernel-Based Pairwise Learning. - Global Sensitivity Analysis for the Interpretation of Machine Learning Algorithms. - Improving Gaussian Process Emulators with Boundary Information. - Part II Challenges and Solutions in Applications. - An Overview and General Framework for Spatiotemporal Modeling and Applications in Transportation and Public Health. - Introduction to Wafer Tomography: Likelihood-Based Prediction of Integrated-Circuit Yield. - Uncertainty Quantification Based on Bayesian Neural Networks for Predictive Quality. - Two Statistical Degradation Models of Batteries Under Different Operating Conditions. - Detecting Diamond Breakouts of Diamond Impregnated Tools for Core Drilling of Concrete by Force Measurements. - Visualising Complex Data Within a Data Science Loop: A Spatio-Temporal Example from Football. - Application of the Singular Spectrum Analysis on Electro luminescence Images of Thin-Film Photovoltaic Modules. - The Impact of the Lockdown Restrictions on Air Quality During COVID-19 Pandemic in Lombardy, Italy.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
