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Applied Statistical Learning : With Case Studies in Stata / / by Matthias Schonlau
| Applied Statistical Learning : With Case Studies in Stata / / by Matthias Schonlau |
| Autore | Schonlau Matthias |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource |
| Disciplina | 006.31 |
| Collana | Statistics and Computing |
| Soggetto topico |
Machine learning
Social sciences - Statistical methods Statistics Statistics - Computer programs Quantitative research Statistical Learning Machine Learning Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics in Business, Management, Economics, Finance, Insurance Statistical Software Data Analysis and Big Data |
| ISBN |
9783031333903
303133390X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- 1 Prologue -- 2 Statistical Learning: Concepts -- 3 Statistical Learning: Practical Aspects -- 4 Logistic Regression -- 5 Lasso and Friends -- 6 Working with Text Data -- 7 Nearest Neighbors -- 8 The Naive Bayes Classifier -- 9 Trees -- 10 Random Forests -- 11 Boosting -- 12 Support Vector Machines -- 13 Feature Engineering -- 14 Neural Networks -- 15 Stacking -- Index. |
| Record Nr. | UNINA-9910736996503321 |
Schonlau Matthias
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks : Alpha Unpredictability and Chaotic Dynamics / / by Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin, Zakhira Nugayeva
| Artificial Neural Networks : Alpha Unpredictability and Chaotic Dynamics / / by Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin, Zakhira Nugayeva |
| Autore | Akhmet Marat |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (256 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
TleubergenovaMadina
ZhamanshinAkylbek NugayevaZakhira |
| Soggetto topico |
Artificial intelligence
Machine learning Neural networks (Computer science) Artificial Intelligence Machine Learning Mathematical Models of Cognitive Processes and Neural Networks Statistical Learning |
| ISBN |
9783031689666
3031689666 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- 1. Introduction -- 2. Preliminaries -- 3. Hopfield-type neural networks -- 4. Shunting inhibitory cellular neural networks -- 5. Inertial neural networks with discontinuities -- 6. Cohen-Grossberg neural networks. |
| Record Nr. | UNINA-9910983084603321 |
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Akhmet Marat
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Beyond the T-Test / / by Scott A. Pardo
| Beyond the T-Test / / by Scott A. Pardo |
| Autore | Pardo Scott A |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (329 pages) |
| Disciplina | 300.727 |
| Soggetto topico |
Social sciences - Statistical methods
Machine learning Stochastic models Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistical Learning Stochastic Modelling in Statistics |
| ISBN | 3-031-84479-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Populations, Samples, Parameters, and Statistics -- Chapter 2. Some Probability Concepts -- Chapter 3. Estimation, Hypothesis Testing and the Scientific Method -- Chapter 4. Binary Random Variables and Acceptance Sampling Plans -- Chapter 5. Continuous Variables, the Normal Distribution, and the Central Limit Theorem -- Chapter 6. Continuous Variables and Acceptance Sampling Plans -- Chapter 7. Confidence -- Chapter 8. Some Confidence Interval Computations, Including Bootstrapping -- Chapter 9. Linear Regression, Correlation, and Least Squares -- Chapter 10. Analysis of Variance -- Chapter 11. Poisson and Exponential Variables, Rate, and Time-to-Event -- Chapter 12. 2k Factorial Experiments -- Chapter 13. Nonparametric Methods – Rank-Based Tests, Permutation Tests and Resampling Methods -- Chapter 14. Nonlinear and Logistic Regression -- Chapter 15. Model Building -- Chapter 16. Multivariate Analysis -- Chapter 17. Bayesian Methods – Markov Chain Montel Carlo Approach -- Chapter 18. Machine Learning and Data-Intensive Methods -- Chapter 19. Time Series and Dynamic Systems -- Index. |
| Record Nr. | UNINA-9911009339403321 |
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Pardo Scott A
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam
| Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam |
| Autore | El Ayachi Rachid |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
FakirMohamed
BaslamMohamed |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Application software
Machine learning Operations research Business information services Business - Data processing Computer and Information Systems Applications Machine Learning Operations Research and Decision Theory IT in Business Statistical Learning Business Analytics |
| ISBN | 3-031-37872-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence and Business Intelligence -- A business intelligence system for governing risks in SMEs -- A Systematic Analysis for Machine Learning Based Cow Price Prediction -- Deep learning models for cybersecurity in IoT networks -- Diabetes prediction by machine learning algorithms and risks factors -- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study -- Ontology-based Mediation with Quality Criteria -- Predicting driving license applicant’s performance for Car Reverse Test System -- Optimization and Decision Support -- A Comparative Study on the implementation of Blockchain in Supply Chain Models -- A Hybrid Approach of Dijkstra’s algorithm and A* search, with an optional adaptive threshold heuristic -- Causal Discovery and features importance analysis: What can be inferred about at-risk students? -- Computational features and applications of an inhomogeneous Gompertz diffusion process? -- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment -- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem -- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates -- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset. |
| Record Nr. | UNINA-9910734883103321 |
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El Ayachi Rachid
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam
| Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam |
| Autore | El Ayachi Rachid |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
FakirMohamed
BaslamMohamed |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Application software
Machine learning Operations research Business information services Business - Data processing Computer and Information Systems Applications Machine Learning Operations Research and Decision Theory IT in Business Statistical Learning Business Analytics |
| ISBN | 3-031-37872-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence and Business Intelligence -- A business intelligence system for governing risks in SMEs -- A Systematic Analysis for Machine Learning Based Cow Price Prediction -- Deep learning models for cybersecurity in IoT networks -- Diabetes prediction by machine learning algorithms and risks factors -- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study -- Ontology-based Mediation with Quality Criteria -- Predicting driving license applicant’s performance for Car Reverse Test System -- Optimization and Decision Support -- A Comparative Study on the implementation of Blockchain in Supply Chain Models -- A Hybrid Approach of Dijkstra’s algorithm and A* search, with an optional adaptive threshold heuristic -- Causal Discovery and features importance analysis: What can be inferred about at-risk students? -- Computational features and applications of an inhomogeneous Gompertz diffusion process? -- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment -- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem -- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates -- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset. |
| Record Nr. | UNISA-996546829403316 |
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El Ayachi Rachid
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Causality for Artificial Intelligence : From a Philosophical Perspective / / by Jordi Vallverdú
| Causality for Artificial Intelligence : From a Philosophical Perspective / / by Jordi Vallverdú |
| Autore | Vallverdú Jordi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (110 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Science - Philosophy Machine learning Cognitive neuroscience Computers - History Artificial Intelligence Philosophy of Science Machine Learning Cognitive Neuroscience Statistical Learning History of Computing |
| ISBN |
9789819731879
9789819731862 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Ground Zone: Definitions and Concepts about Causality -- Chapter 2. Causality and Artificial Intelligence -- Chapter 3. How Causality Works in non-Human Minds -- Chapter 4. Do Humans Think Causally, and How? Chapter 5. Pitfalls and Triumphs of Causal AI -- Chapter 6. Generative AI and Causality -- Chapter 7. Counterfactual Thinking for Machines -- Chapter 8. Defining and Debating Algorithmic Causality -- Chapter 9. Open Paradoxes: Retrocausality -- Chapter 10. My Kingdom for a Causal Algorithm. |
| Record Nr. | UNINA-9910869181103321 |
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Vallverdú Jordi
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
| Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent |
| Autore | Brito Paula |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2023 |
| Descrizione fisica | 1 online resource (393 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
DiasJosé G
LausenBerthold MontanariAngela NugentRebecca |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Artificial intelligence - Data processing
Machine learning Data mining Multivariate analysis Statistics - Computer programs Data Science Statistical Learning Machine Learning Data Mining and Knowledge Discovery Multivariate Analysis Statistical Software Intel·ligència artificial Aprenentatge automàtic Mineria de dades Anàlisi multivariable |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-09034-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- R. Abdesselam: A Topological Clustering of Individuals -- C. Anton and I. Smith: Model Based Clustering of Functional Data with Mild Outliers -- F. Antonazzo and S. Ingrassia: A Trivariate Geometric Classification of Decision Boundaries for Mixtures of Regressions -- E. Arnone, E. Cunial, and L. M. Sangalli: Generalized Spatio-temporal Regression with PDE Penalization -- R. Ascari and S. Migliorati: A New Regression Model for the Analysis of Microbiome Data -- R. Aschenbruck, G. Szepannek, and A. F. X. Wilhelm: Stability of Mixed-type Cluster Partitions for Determination of the Number of Clusters -- A. Ashofteh and P. Campos: A Review on Official Survey Item Classification for Mixed-Mode Effects Adjustment -- V. Batagelj: Clustering and Blockmodeling Temporal Networks – Two Indirect Approaches -- R. Boutalbi, L. Labiod, and M. Nadif: Latent Block Regression Model -- N. Chabane, M. Achraf Bouaoune, R. Amir Sofiane Tighilt, B. Mazoure, N. Tahiri, and V. Makarenkov: Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendations -- T. Chadjipadelis and S. Magopoulou: COVID-19 Pandemic: a Methodological Model for the Analysis of Government’s Preventing Measures and Health Data Records -- J. Champagne Gareau, É. Beaudry, and V. Makarenkov: pcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains -- C. Di Nuzzo and S. Ingrassia: Three-way Spectral Clustering -- J. Dobša and H. A. L. Kiers: Improving Classification of Documents by Semi-supervised Clustering in a Semantic Space -- J. Gama: Trends in Data Stream Mining -- L. A. García-Escudero, A. Mayo-Iscar, G. Morelli, and M. Riani: Old and New Constraints in Model Based Clustering -- V. G Genova, G. Giordano, G . Ragozini, and M. Prosperina Vitale: Clustering Student Mobility Data in 3-way Networks -- R. Giubilei: Clustering Brain Connectomes Through a Density-peak Approach -- T. Górecki, M. Šuczak, and P. Piasecki: Similarity Forest for Time Series Classification -- K. Hayashi, E. Hoshino, M. Suzuki, E. Nakanishi, K. Sakai, and M. Obatake: Detection of the Biliary Atresia Using Deep Convolutional Neural Networks Based on Statistical Learning Weights via Optimal Similarity and Resampling Methods -- Ch. Hennig: Some Issues in Robust Clustering -- J. Kalina and P. Janá£ek: Robustness Aspects of Optimized Centroids -- L. Labiod and M. Nadif: Data Clustering and Representation Learning Based on Networked Data -- Lazhar Labiod and Mohamed Nadif: Towards a Bi-stochastic Matrix Approximation of k-means and Some Variants -- A. LaLonde, T. Love, D. R. Young, and T. Wu: Clustering Adolescent Female Physical Activity Levels with an Infinite Mixture Model on Random Effects -- Á. López-Oriona, J. A. Vilar, and P. D’Urso: Unsupervised Classification of Categorical Time Series Through Innovative Distances -- D. Masís, E. Segura, J. Trejos, and A. Xavier: Fuzzy Clustering by Hyperbolic Smoothing -- R. Meng, H. K. H. Lee, and K. Bouchard: Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Networks -- H. Duy Nguyen, F. Forbes, G. Fort, and O. Cappé: An Online Minorization-Maximization Algorithm -- L. Palazzo and R. Ievoli: Detecting Differences in Italian Regional Health Services During Two Covid-19 Waves -- G. Panagiotidou and T. Chadjipadelis: Political and Religion Attitudes in Greece: Behavioral Discourses -- K. Pawlasová, I. Karafiátová, and J. Dvořák: Supervised Classification via Neural Networks for Replicated Point Patterns -- G. Perrone and G. Soffritti: Parsimonious Mixtures of Seemingly Unrelated Contaminated Normal Regression Models -- N. Pronello, R. Ignaccolo, L. Ippoliti, and S. Fontanella: Penalized Model-based Functional Clustering: a Regularization Approach via Shrinkage Methods -- D. Rodrigues, L. P. Reis, and B. M. Faria: Emotion Classification Based on Single Electrode Brain Data: Applications for Assistive Technology -- R. Scimone, A. Menafoglio, L. M. Sangalli, and P. Secchi: The Death Process in Italy Before and During the Covid-19 Pandemic: a Functional Compositional Approach -- O. Silva, Á. Sousa, and H. Bacelar-Nicolau: Clustering Validation in the Context of Hierarchical Cluster Analysis: an Empirical Study -- C. Silvestre, M. G. M. S. Cardoso, and M. Figueiredo: An MML Embedded Approach for Estimating the Number of Clusters -- Á. Sousa, O. Silva, M. Graça Batista, S. Cabral, and H. Bacelar-Nicolau: Typology of Motivation Factors for Employees in the Banking Sector: An Empirical Study Using Multivariate Data Analysis Methods -- J. Michael Spoor, J. Weber, and J. Ovtcharova: A Proposal for Formalization and Definition of Anomalies in Dynamical Systems -- N. Tahiri and A. Koshkarov: New Metrics for Classifying Phylogenetic Trees Using -means and the Symmetric Difference Metric -- S. D. Tomarchio: On Parsimonious Modelling via Matrix-variate t Mixtures -- G. Zammarchi, M. Romano, and C. Conversano: Evolution of Media Coverage on Climate Change and Environmental Awareness: an Analysis of Tweets from UK and US Newspapers. |
| Record Nr. | UNINA-9910768481303321 |
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Brito Paula
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| Cham, : Springer Nature, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Driven Model Learning for Engineers : With Applications to Univariate Time Series / / by Guillaume Mercère
| Data Driven Model Learning for Engineers : With Applications to Univariate Time Series / / by Guillaume Mercère |
| Autore | Mercère Guillaume |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (X, 212 p. 93 illus., 54 illus. in color.) |
| Disciplina |
519.55
620.00151955 |
| Soggetto topico |
Time-series analysis
Machine learning Statistics Time Series Analysis Statistical Learning Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN |
9783031316364
3031316363 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910741194703321 |
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Mercère Guillaume
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making / / edited by Javier Trejos, Theodore Chadjipadelis, Aurea Grané, Mario Villalobos
| Data Science, Classification, and Artificial Intelligence for Modeling Decision Making / / edited by Javier Trejos, Theodore Chadjipadelis, Aurea Grané, Mario Villalobos |
| Autore | Trejos Javier |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (194 pages) |
| Disciplina | 519.50285 |
| Altri autori (Persone) |
ChadjipadelisTheodore
GranéAurea VillalobosMario |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Machine learning
Multivariate analysis Information visualization Data mining Artificial intelligence - Data processing Statistical Learning Multivariate Analysis Data and Information Visualization Machine Learning Data Mining and Knowledge Discovery Data Science |
| ISBN | 3-031-85870-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Acknowledgements -- G. Afriyie, D. Hughes, A. Nettel Aguirre, N. Li, C. H. Lee, L. M. Lix, and T. Sajobi: A Comparison of Multivariate Mixed Models and Generalized Estimation Equations Models for Discrimination in Multivariate Longitudinal Data -- C. Adela Anton and I. Smith: A Multivariate Functional Data Clustering Method Using Parsimonious Cluster Weighted Models -- J. P. Arroyo-Castro and S. W. Chou-Chen: Unsupervised Detection of Anomaly in Public Procurement Processes -- Z. Aouabed, M. Achraf Bouaoune, V. Therrien, M. Bakhtyari, M. Hijri, and V. Makarenkov: Predicting Soil Bacterial and Fungal Communities at Different Taxonomic Levels Using Machine Learning -- V. Bouranta, G. Panagiotidou and T. Chadjipadelis: Candidates, Parties, Issues and the Political Marketing Strategies: A Comparative Analysis on Political Competition in Greece -- J. Cervantes, M. Monge, and D. Sabater: Predicting Air Pollution in Beijing, China Using Chemical, and Climate Variables -- J. Champagne Gareau, É. Beaudry, and V. Makarenkov: Towards Topologically Diverse Probabilistic Planning Benchmarks: Synthetic Domain Generation for Markov Decision Processes -- P. Chaparala and P. Nagabhushan: Symbolic Data Analysis Framework for Recommendation Systems: SDA-RecSys -- E. Costa, I. Papatsouma, and A. Markos: A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data -- M. Farnia and N. Tahiri: A New Metric to Classify B Cell Lineage Tree -- T. Górecki, M.Krzyśko, and W. Wolyński: Applying Classification Methods for Multivariate Functional Data -- K. Moussa Sow and N. Ghazzali: Machine Learning-Based Classification and Prediction to Assess Corrosion Degradation in Mining Pipelines -- G. Nason, D. Salnikov, and M. Cortina-Borja: Modelling Clusters in Network Time Series with an Application to Presidential Elections in the USA -- M. A. Nunez and M. A. Schneider: On the Vapnik-Chervonenkis Dimension and Learnability of the Hurwicz Decision Criterion -- W. Pan and L. Billard: Distributional-based Partitioning with Copulas -- G. Panagiotidou and T. Chadjipadelis: Mapping Electoral Behavior and Political Competition: A Comparative Analytical Framework for Voter Typologies and Political Discourses -- O. Rodríguez Rojas: Riemannian Statistics for Any Type of Data -- A. Roy and F. Montes: Hypothesis Testing of Mean Interval for p-dimensional Interval-valued Data -- M. Solís and A. Hernández: UMAP Projections and the Survival of Empty Space: A Geometric Approach to High-Dimensional Data -- Q. Stier and M. C. Thrun: An Efficient Multicore CPU Implementation of the DatabionicSwarm. |
| Record Nr. | UNINA-9910999683803321 |
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Trejos Javier
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Decision Mathematics, Statistical Learning and Data Mining : Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 / / edited by Wan Fairos Wan Yaacob, Yap Bee Wah, Obaid Ullah Mehmood
| Decision Mathematics, Statistical Learning and Data Mining : Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 / / edited by Wan Fairos Wan Yaacob, Yap Bee Wah, Obaid Ullah Mehmood |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (385 pages) |
| Disciplina | 519 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Computer science - Mathematics
Machine learning Mathematics - Data processing Information visualization Data mining Mathematical Applications in Computer Science Statistical Learning Computational Science and Engineering Data and Information Visualization Data Mining and Knowledge Discovery |
| ISBN | 981-9734-50-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Roughness-Dice Similarity Measure Generalization for Rough Neutrosophic Set Application in Investment Selection Company -- Chapter 2 Mathematical Modelling of a Food Chain with Intraspecific Competition in the Middle Predator -- Chapter 3 The Application of Simplified Multi-Granular Linguistic Term Sets in Decision-Making Method for an Investment Company -- Chapter 4 Optimum Resource Allocation at Emergency Department’s Yellow Zone using Simulation and Data Envelopment Analysis -- Chapter 5 Performance Efficiency of Paddy Granaries Production in Malaysia Using Bi-O MCDEA BCC Super Efficiency Model -- Chapter 6 A Hybrid Multicriteria Decision Making Model for Environmentally Sustainable Port -- Chapter 7 Spatial and Time Series Modeling for The Groundwater Level of Peatlands in Riau and Central Kalimantan, Indonesia -- Chapter 8 Singular Value Decomposition on Correspondence Analysis as Derivation of Principal Component Analysis -- Chapter 9 Stackelberg Equilibrium between Insured and Insurer in n-year Life Insurance -- chapter 10 Modelling and Forecasting Natural Rubber Price in Malaysia: Comparison between HES, ARIMA and ANN -- Chapter 11The Study of Cramer’s V for Variables Association on Stainless Steels Corrosion Problem -- Chapter 12 Analysis of Hospital Occupancy for COVID-19 Patients using Erlang B Queueing System -- Chapter 13 Effect of Frequent Adjustments of Risky Assets on Portfolio Value of Unit-Linked Insurance -- Chapter 14 The Correspondence Analysis Between Types of Motor Vehicle Claims and Customer Locations: A Case Study on Sharia General Insurance in Indonesia -- Chapter 15 Autoregressive Integrated Moving Average (ARIMA) Model for Forecasting Malaysia Under-5 Mortality by State and Gender -- Chapter 16 Point Biserial Correlation Coefficient on Climate Variables and Dengue Cases using R Programming -- Chapter 17 Spatio-Temporal Patterns of Land Use Land Cover Change Associated with the Establishment of UiTM Cawangan Kelantan, Malaysia -- Chapter 18 Image Data Clustering Based on the Distribution Function -- Chapter 19 Optimizing Color Model Selection for Accurate Target Detection in Rail Anomaly -- Chapter 20 Cyberbullying Detection Using Data Mining and Sentiment Analysis: Repository Building in Bruneian Context -- Chapter 21 Real-Time Masked Facial Recognition with MobileNetV2 and Transfer Learning -- Chapter 22 JUVDATA: Data Visualization of Juvenile Crime in Malaysia -- Chapter 23 MalAware: An Agile and OSEMN-Based Big Data Visualisation for Malware Detection -- Chapter 24 A Systematic Mapping of Data Visualization in Business Intelligence. |
| Record Nr. | UNINA-9910900171803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
- Machine learning (32)
-
Statistical Learning
(32)
- Machine Learning (18)
- Statistics (12)
- Artificial Intelligence (9)