Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Neural Networks and Statistical Learning / Ke-Lin Du, M. N. S. Swamy
| Neural Networks and Statistical Learning / Ke-Lin Du, M. N. S. Swamy |
| Autore | Du, Ke-Lin |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | London, : Springer, 2019 |
| Descrizione fisica | xxx, 988 p. : ill. ; 24 cm |
| Altri autori (Persone) | Swamy, M. N. Shanmukha |
| Soggetto topico |
68Txx - Artificial intelligence [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 94Cxx - Circuits, networks [MSC 2020] 94Dxx - Miscellaneous topics in information and communication theory [MSC 2020] |
| Soggetto non controllato |
Big Data
Cloud Computing Data Mining, Data Fusion and Ensemble Learning Deep Learning Multilayer Perceptrons Neural Networking Techniques Neural networks Pattern recognition Spar Coding Statistical Learning Textbook Statistical and Machine Learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127246 |
Du, Ke-Lin
|
||
| London, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New Statistical Developments in Data Science : SIS 2017, Florence, Italy, June 28-30 / Alessandra Petrucci, Filomena Racioppi, Rosanna Verde editors
| New Statistical Developments in Data Science : SIS 2017, Florence, Italy, June 28-30 / Alessandra Petrucci, Filomena Racioppi, Rosanna Verde editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiv, 479 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 62-XX - Statistics [MSC 2020] 37A50 - Dynamical systems and their relations with probability theory and stochastic processes [MSC 2020] |
| Soggetto non controllato |
Big Data
Complex Data Analytics Data analysis Data modeling Data science Dimensional reduction High Dimensional Data Quality Validation Information and Computer Science Knowledge Based Methods Machine learning Open data Optimization Pattern recognition Pattern selection Proceedings Relational and Complex Data Sampling Extraction Structured and no-structured Data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127044 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
New Trends and Advanced Methods in Interdisciplinary Mathematical Sciences / Bourama Toni editor
| New Trends and Advanced Methods in Interdisciplinary Mathematical Sciences / Bourama Toni editor |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiv, 358 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] 00A69 - General applied mathematics [MSC 2020] 86-XX - Geophysics [MSC 2020] 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Adelic physics
Barrier options Darcy-Prandtl Number Evolutionary Game Theory and Culture Geometric triple systems Image Segmentation Pattern recognition Psychoneuroimmunology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123836 |
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Pattern Recognition Techniques Applied to Biomedical Problems / Martha Refugio Ortiz-Posadas editor
| Pattern Recognition Techniques Applied to Biomedical Problems / Martha Refugio Ortiz-Posadas editor |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 221 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T10 - Pattern recognition, speech recognition [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92C55 - Biomedical imaging and signal processing [MSC 2020] 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] |
| Soggetto non controllato |
Biosignal processing
Clinical engineering Image processing Knowledge Management Knowledge representation Mathematical biology Mathematical imaging Pattern recognition Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249641 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Search techniques in intelligent classification systems / Andrey V. Savchenko
| Search techniques in intelligent classification systems / Andrey V. Savchenko |
| Autore | Savchenko, Andrey V. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIII, 85 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T10 - Pattern recognition, speech recognition [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68P15 - Database theory [MSC 2020] 68P20 - Information storage and retrieval of data (aspects in computer science) [MSC 2020] 68T20 - Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) [MSC 2020] 68T50 - Natural language processing [MSC 2020] |
| Soggetto non controllato |
Data Mining
Face identification Hierarchical Intelligent Classification Systems Intelligent Classification Systems Mathematical Model of the Piecewise-Regular Object Modern intelligent systems Nearest Neighbor Search Pattern recognition Probability Theory Speech Recognition Statistical Classification of Audiovisual Data Voice Control Systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115343 |
|
Savchenko, Andrey V.
|
||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms / / Jiming Peng, Cornelis Roos, Tamás Terlaky
| Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms / / Jiming Peng, Cornelis Roos, Tamás Terlaky |
| Autore | Peng Jiming |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, NJ : , : Princeton University Press, , [2009] |
| Descrizione fisica | 1 online resource (201 p.) |
| Disciplina | 519.6 |
| Collana | Princeton Series in Applied Mathematics |
| Soggetto topico |
Interior-point methods
Mathematical optimization Programming (Mathematics) Civil & Environmental Engineering Engineering & Applied Sciences Operations Research |
| Soggetto non controllato |
Accuracy and precision
Algorithm Analysis of algorithms Analytic function Associative property Barrier function Binary number Block matrix Combination Combinatorial optimization Combinatorics Complexity Conic optimization Continuous optimization Control theory Convex optimization Delft University of Technology Derivative Differentiable function Directional derivative Division by zero Dual space Duality (mathematics) Duality gap Eigenvalues and eigenvectors Embedding Equation Estimation Existential quantification Explanation Feasible region Filter design Function (mathematics) Implementation Instance (computer science) Invertible matrix Iteration Jacobian matrix and determinant Jordan algebra Karmarkar's algorithm Karush–Kuhn–Tucker conditions Line search Linear complementarity problem Linear function Linear programming Lipschitz continuity Local convergence Loss function Mathematical optimization Mathematician Mathematics Matrix function McMaster University Monograph Multiplication operator Newton's method Nonlinear programming Nonlinear system Notation Operations research Optimal control Optimization problem Parameter (computer programming) Parameter Pattern recognition Polyhedron Polynomial Positive semidefinite Positive-definite matrix Quadratic function Requirement Result Scientific notation Second derivative Self-concordant function Sensitivity analysis Sign (mathematics) Signal processing Simplex algorithm Simultaneous equations Singular value Smoothness Solution set Solver Special case Subset Suggestion Technical report Theorem Theory Time complexity Two-dimensional space Upper and lower bounds Variable (computer science) Variable (mathematics) Variational inequality Variational principle Without loss of generality Worst-case complexity Yurii Nesterov |
| ISBN |
1-282-08760-6
9786612087608 1-4008-2513-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Notation -- List of Abbreviations -- Chapter 1. Introduction and Preliminaries -- Chapter 2. Self-Regular Functions and Their Properties -- Chapter 3. Primal-Dual Algorithms for Linear Optimization Based on Self-Regular Proximities -- Chapter 4. Interior-Point Methods for Complementarity Problems Based on Self- Regular Proximities -- Chapter 5. Primal-Dual Interior-Point Methods for Semidefinite Optimization Based on Self-Regular Proximities -- Chapter 6. Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities -- Chapter 7. Initialization: Embedding Models for Linear Optimization, Complementarity Problems, Semidefinite Optimization and Second-Order Conic Optimization -- Chapter 8. Conclusions -- References -- Index |
| Record Nr. | UNINA-9910777727403321 |
|
Peng Jiming
|
||
| Princeton, NJ : , : Princeton University Press, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms / / Jiming Peng, Cornelis Roos, Tamás Terlaky
| Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms / / Jiming Peng, Cornelis Roos, Tamás Terlaky |
| Autore | Peng Jiming |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, NJ : , : Princeton University Press, , [2009] |
| Descrizione fisica | 1 online resource (201 p.) |
| Disciplina | 519.6 |
| Collana | Princeton Series in Applied Mathematics |
| Soggetto topico |
Interior-point methods
Mathematical optimization Programming (Mathematics) Civil & Environmental Engineering Engineering & Applied Sciences Operations Research |
| Soggetto non controllato |
Accuracy and precision
Algorithm Analysis of algorithms Analytic function Associative property Barrier function Binary number Block matrix Combination Combinatorial optimization Combinatorics Complexity Conic optimization Continuous optimization Control theory Convex optimization Delft University of Technology Derivative Differentiable function Directional derivative Division by zero Dual space Duality (mathematics) Duality gap Eigenvalues and eigenvectors Embedding Equation Estimation Existential quantification Explanation Feasible region Filter design Function (mathematics) Implementation Instance (computer science) Invertible matrix Iteration Jacobian matrix and determinant Jordan algebra Karmarkar's algorithm Karush–Kuhn–Tucker conditions Line search Linear complementarity problem Linear function Linear programming Lipschitz continuity Local convergence Loss function Mathematical optimization Mathematician Mathematics Matrix function McMaster University Monograph Multiplication operator Newton's method Nonlinear programming Nonlinear system Notation Operations research Optimal control Optimization problem Parameter (computer programming) Parameter Pattern recognition Polyhedron Polynomial Positive semidefinite Positive-definite matrix Quadratic function Requirement Result Scientific notation Second derivative Self-concordant function Sensitivity analysis Sign (mathematics) Signal processing Simplex algorithm Simultaneous equations Singular value Smoothness Solution set Solver Special case Subset Suggestion Technical report Theorem Theory Time complexity Two-dimensional space Upper and lower bounds Variable (computer science) Variable (mathematics) Variational inequality Variational principle Without loss of generality Worst-case complexity Yurii Nesterov |
| ISBN |
1-282-08760-6
9786612087608 1-4008-2513-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Notation -- List of Abbreviations -- Chapter 1. Introduction and Preliminaries -- Chapter 2. Self-Regular Functions and Their Properties -- Chapter 3. Primal-Dual Algorithms for Linear Optimization Based on Self-Regular Proximities -- Chapter 4. Interior-Point Methods for Complementarity Problems Based on Self- Regular Proximities -- Chapter 5. Primal-Dual Interior-Point Methods for Semidefinite Optimization Based on Self-Regular Proximities -- Chapter 6. Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities -- Chapter 7. Initialization: Embedding Models for Linear Optimization, Complementarity Problems, Semidefinite Optimization and Second-Order Conic Optimization -- Chapter 8. Conclusions -- References -- Index |
| Record Nr. | UNINA-9910813827803321 |
|
Peng Jiming
|
||
| Princeton, NJ : , : Princeton University Press, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors]
| Statistical Learning of Complex Data / Francesca Greselin … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiii, 201 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020] 62Gxx - Nonparametric inference [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big Data
Classification Clustering Complex data Data analysis Explanatory data analysis Functional data Graphical Models Machine learning methods Multidimensional Scaling Multiway data Network data Pattern recognition Statistical learning Statistical modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127162 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
The Cognition of Sequences
| The Cognition of Sequences |
| Autore | Snehlata Jaswal |
| Pubbl/distr/stampa | Frontiers Media SA, 2018 |
| Descrizione fisica | 1 electronic resource (132 p.) |
| Collana | Frontiers Research Topics |
| Soggetto non controllato |
Order
Sequences Cognition Serial order Grouping Recall Working memory Auditory sequences Pattern recognition Sequencing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346740503321 |
|
Snehlata Jaswal
|
||
| Frontiers Media SA, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2019 / Olga Valenzuela … [et al.] editors]
| Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2019 / Olga Valenzuela … [et al.] editors] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 460 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Complex and big data time series Econometric models and forecasting Energy forecasting Financial forecasting Forecasting theory and adjustment Hierarchical forecasting Mathematical Finance Pattern recognition Prediction of time series Risk analysis Statistical methods for time series Time Series Analysis Time series with computational intelligence Times series in energy |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249940 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
