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Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / / edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi
| Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / / edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 340 p. 83 illus., 48 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Data mining Mathematical statistics Mathematics Operations research Decision making Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Applied Statistics Probability and Statistics in Computer Science Mathematics in Music Operations Research/Decision Theory |
| ISBN | 3-030-25147-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Methodological Developments in Data Science.-Aviation Data Analysis by Linear Programming in Airline Network Revenue Management -- Bayesian Reduced Rank Regression for Classification -- Modelling and classification of GC/IMS breath gas measurements for lozenges of different flavours -- The Cosine Depth Distribution Classifier for Directional Data -- A Nonconformity Ratio Based Desirability Function for Capability Assessment -- Part II Computational Statistics -- Heteroscedastic Discriminant Analysis using R -- Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco -- Part III Perspectives on Statistics and Data Science -- A Note on Artificial Intelligence and Statistics -- Statistical Computing and Data Science in Introductory Statistics -- Approaching Ethical Guidelines for Data Scientists -- Part IV Statistics in Econometric Applications -- Dating Lower Turning Points of Business Cycles – a Multivariate Linear Discriminant Analysis for Germany 1984 to 2009 -- Partial Orderings of Default Predictions -- Improving GMM efficiency in dynamic models for panel data with mean stationarity -- Part V Statistics in Industrial Applications -- Economically designed Bayesian np control charts using dual sample sizes for long-run processes -- Statistical analysis of the lifetime of diamond impregnated tools for core drilling of concrete -- Detection of anomalous sequences in crack data of a bridge monitoring -- Optimal Semi-Split-Plot Designs with R -- Continuous process monitoring through ensemble based anomaly detection -- Part VI Statistics in Music Applications -- Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music -- The Psychological Foundations of Classification. |
| Record Nr. | UNINA-9910349330403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer
| Machine Learning under Resource Constraints. Applications / / ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2022] |
| Descrizione fisica | 1 online resource (VIII, 470 p.) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico | SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078598-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- 1 Editorial -- 2 Health / Medicine -- 2.1 Machine Learning in Medicine -- 2.2 Virus Detection -- 2.3 Cancer Diagnostics and Therapy from Molecular Data -- 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction -- 2.5 Survival Prediction and Model Selection -- 2.6 Protein Complex Similarity -- 3 Industry 4.0 -- 3.1 Keynote on Industry 4.0 -- 3.2 Quality Assurance in Interlinked Manufacturing Processes -- 3.3 Label Proportion Learning -- 3.4 Simulation and Machine Learning -- 3.5 High-Precision Wireless Localization -- 3.6 Indoor Photovoltaic Energy Harvesting -- 3.7 Micro-UAV Swarm Testbed for Indoor Applications -- 4 Smart City and Traffic -- 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors -- 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows -- 4.3 Green Networking and Resource Constrained Clients for Smart Cities -- 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing -- 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata -- 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms -- 5 Communication Networks -- 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum -- 5.2 Resource-Efficient Vehicle-to-Cloud Communications -- 5.3 Mobile-Data Network Analytics Highly Reliable Networks -- 5.4 Machine Learning-Enabled 5G Network Slicing -- 5.5 Potential of Millimeter Wave Communications -- 6 Privacy -- 6.1 Keynote: Construction of Inference-Proof Agent Interactions -- Bibliography -- Index -- List of Contributors |
| Record Nr. | UNISA-996503570503316 |
| Berlin ; ; Boston : , : De Gruyter, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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