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Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau
| Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau |
| Autore | Schonlau, Matthias |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 332 p. : ill. ; 24 cm |
| Soggetto non controllato |
Applications in the Social Sciences
Applied Statistical Learning Case Studies Data Analytics Data Science Methods in the Social Sciences Data science Machine learning Neural networks Random forests Statistical learning Support Vector Machines Text Data Trees |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278722 |
Schonlau, Matthias
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau
| Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau |
| Autore | Schonlau, Matthias |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 332 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 91B82 - Statistical methods; economic indices and measures [MSC 2020] |
| Soggetto non controllato |
Applications in the Social Sciences
Applied Statistical Learning Case Studies Data Analytics Data Science Methods in the Social Sciences Data science Machine learning Neural networks Random forests Statistical learning Support Vector Machines Text Data Trees |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278722 |
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Schonlau, Matthias
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Circular Economy, Ethical Funds, and Engineering Projects
| Circular Economy, Ethical Funds, and Engineering Projects |
| Autore | Konstantakopoulou Foteini |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (300 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
action theory
adaptation buffer management carbon footprint CCPM China circular city circular economy climate change construction delay construction safety corporate philanthropy cost benefit analysis cost prediction of substation project critical success factors Cuckoo Search drivers emergy analysis Ensemble Empirical Mode Decomposition framework fuzzy logic Fuzzy TOPSIS indicators Industrial symbiosis information transfer investments IT tools Life cycle assessment (LCA) Management Standards manufacturing firms material procurement management Occupational Health and Safety (OHS) optimal project profitability PERT/CPM photovoltaics piping construction planning and control political connections pollution impact PRAT method prefabrication housing production probabilistic alternative approach Project Definition Rating Index renewable energy systems research and innovation projects resource competition resource consumption risk assessment rule-based systems smart city smart governance SME social capital social network social network centrality solar thermal collectors sources of funding steel production stochastic simulation strategic management Support Vector Machines sustainability sustainable city sustainable development sustainable economy Theory of Inventive Problem Solving traffic congestion transport planning transport project evaluation urbanization value of travel time savings Value-at-Risk |
| ISBN | 3-03928-253-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372782003321 |
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Konstantakopoulou Foteini
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Clinical Text Mining [[electronic resource] ] : Secondary Use of Electronic Patient Records / / by Hercules Dalianis
| Clinical Text Mining [[electronic resource] ] : Secondary Use of Electronic Patient Records / / by Hercules Dalianis |
| Autore | Dalianis Hercules |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Springer Nature, 2018 |
| Descrizione fisica | 1 online resource (XVII, 181 p. 54 illus., 28 illus. in color.) |
| Disciplina | 025.04 |
| Soggetto topico |
Information storage and retrieval
Health informatics Natural language processing (Computer science) Data mining Information Storage and Retrieval Health Informatics Natural Language Processing (NLP) Data Mining and Knowledge Discovery |
| Soggetto non controllato |
Natural Language Processing
Text Analysis Data Mining Health Informatics Text Mining Medical Terminologies Health Care Information Systems Support Vector Machines |
| ISBN | 3-319-78503-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- The history of the patient record and the paper record -- User needs: clinicians, clinical researchers and hospital management -- Characteristics of patient records and clinical corpora -- Medical classifications and terminologies -- Evaluation metrics and evaluation -- Basic building blocks for clinical text processing -- Computational methods for text analysis and text classification -- Ethics and privacy of patient records for clinical text mining research -- Applications of clinical text mining -- Networks and shared tasks in clinical text mining -- Conclusions and outlook -- References -- Index. |
| Record Nr. | UNINA-9910293143703321 |
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Dalianis Hercules
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| Springer Nature, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.]
| Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 127 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Classification Clustering Data science Diffusion maps Dimensionality reduction Isomap Kernel methods Machine learning MapReduce Markov decision processes Matrix optimization and approximation Multidimensional Scaling Principal component analysis Spectral clustering Supervised machine learning Support Vector Machines Unsupervised machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249280 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.]
| Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 127 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Classification Clustering Data science Diffusion maps Dimensionality reduction Isomap Kernel methods Machine learning MapReduce Markov decision processes Matrix optimization and approximation Multidimensional Scaling Principal component analysis Spectral clustering Supervised machine learning Support Vector Machines Unsupervised machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249280 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata / Giovanni Cerulli
| Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata / Giovanni Cerulli |
| Autore | Cerulli, Giovanni |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxiv, 391 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Artificial Neural Networks
Classification Deep Learning Discriminant Analysis Machine Learnig Applications in Medicine and Epidemiology Machine Learning Applications in the Social Sciences Machine learning Model selection Nearest Neighbors Nonparametric Fitting Ontology of Machine Learning Python R software Regularization Sentiment analysis Statistical learning Statistics Supervised machine learning Support Vector Machines Trees |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278813 |
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Cerulli, Giovanni
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Handbook of mathematical methods in imaging / Otmar Scherzer editor
| Handbook of mathematical methods in imaging / Otmar Scherzer editor |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2015 |
| Descrizione fisica | XVIII, 2178 p. : ill. ; 24 cm |
| Soggetto topico |
68U10 - Computing methodologies for image processing [MSC 2020]
65N22 - Numerical solution of discretized equations for boundary value problems involving PDEs [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 65R32 - Numerical methods for inverse problems for integral equations [MSC 2020] |
| Soggetto non controllato |
Algorithmic Reconstruction
Mathematical Imaging and Vision Support Vector Machines Variation in Imaging Wave phenomena |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113096 |
| New York, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Handbook of mathematical methods in imaging / Otmar Scherzer editor
| Handbook of mathematical methods in imaging / Otmar Scherzer editor |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2015 |
| Descrizione fisica | XVIII, 2178 p. : ill. ; 24 cm |
| Soggetto topico |
62H35 - Image analysis in multivariate analysis [MSC 2020]
65N22 - Numerical solution of discretized equations for boundary value problems involving PDEs [MSC 2020] 65R32 - Numerical methods for inverse problems for integral equations [MSC 2020] 68U10 - Computing methodologies for image processing [MSC 2020] |
| Soggetto non controllato |
Algorithmic Reconstruction
Mathematical Imaging and Vision Support Vector Machines Variation in Imaging Wave phenomena |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113096 |
| New York, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Improved Classification Rates for Localized Algorithms under Margin Conditions / Ingrid Karin Blaschzyk
| Improved Classification Rates for Localized Algorithms under Margin Conditions / Ingrid Karin Blaschzyk |
| Autore | Blaschzyk, Ingrid K. |
| Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, 2020 |
| Descrizione fisica | 126 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Classification
Gaussian Kernel Hinge Loss Histogram Rule Learning Rates Localized SVMs Oracle inequality Spatial Decomposition Support Vector Machines Tsybakov Noise |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248527 |
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Blaschzyk, Ingrid K.
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| Wiesbaden, : Springer Spektrum, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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