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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  
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
Schonlau, Matthias  
Cham, : Springer, 2023
Materiale a stampa
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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 electronic resource (300 p.)
Soggetto non controllato optimal project profitability
social capital
risk assessment
Life cycle assessment (LCA)
corporate philanthropy
Ensemble Empirical Mode Decomposition
steel production
adaptation
Value-at-Risk
construction delay
sustainable economy
Project Definition Rating Index
circular city
piping construction
transport planning
rule-based systems
resource competition
traffic congestion
smart governance
Management Standards
value of travel time savings
climate change
Fuzzy TOPSIS
manufacturing firms
construction safety
action theory
sustainable city
SME
stochastic simulation
Theory of Inventive Problem Solving
indicators
sustainability
urbanization
prefabrication housing production
pollution impact
sustainable development
cost prediction of substation project
buffer management
circular economy
drivers
Occupational Health and Safety (OHS)
smart city
CCPM
research and innovation projects
probabilistic alternative approach
Industrial symbiosis
cost benefit analysis
investments
solar thermal collectors
Support Vector Machines
social network
emergy analysis
IT tools
China
sources of funding
Cuckoo Search
strategic management
photovoltaics
material procurement management
PRAT method
PERT/CPM
fuzzy logic
renewable energy systems
carbon footprint
transport project evaluation
framework
planning and control
political connections
critical success factors
information transfer
social network centrality
resource consumption
ISBN 3-03928-253-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372782003321
Konstantakopoulou Foteini  
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
Dalianis Hercules  
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
Cerulli, Giovanni  
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
Blaschzyk, Ingrid K.  
Wiesbaden, : Springer Spektrum, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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