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Adaptive and Learning Systems : Theory and Applications / edited by Kumpati S. Narendra
| Adaptive and Learning Systems : Theory and Applications / edited by Kumpati S. Narendra |
| Pubbl/distr/stampa | New York, : Springer, 1986 |
| Descrizione fisica | viii, 418 p. : ill. ; 24 cm |
| Soggetto topico | 93-XX - Systems theory; control [MSC 2020] |
| Soggetto non controllato |
Adaptive Systems
Adaptive control Average Control Convergence Fields Forms Information Learning Models Systems Theory Themes Volume forum learning systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268843 |
| New York, : Springer, 1986 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Adaptive and Learning Systems : Theory and Applications / edited by Kumpati S. Narendra
| Adaptive and Learning Systems : Theory and Applications / edited by Kumpati S. Narendra |
| Pubbl/distr/stampa | New York, : Springer, 1986 |
| Descrizione fisica | viii, 418 p. : ill. ; 24 cm |
| Soggetto topico | 93-XX - Systems theory; control [MSC 2020] |
| Soggetto non controllato |
Adaptive Systems
Adaptive control Average Control Convergence Fields Forms Forum Information Learning Models Systems Theory Themes Volume learning systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268843 |
| New York, : Springer, 1986 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNISA-996418219903316 |
Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Entropy Measures for Data Analysis: Theory, Algorithms and Applications
| Entropy Measures for Data Analysis: Theory, Algorithms and Applications |
| Autore | Keller Karsten |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (260 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
algorithmic complexity
analog circuit auditory attention auditory attention classifier automatic learning belief entropy center of pressure displacement Chinese stock sectors co-evolution complex fuzzy set complex vague soft set conditional entropy of ordinal patterns cross wavelet transform cross-entropy method cross-visibility graphs data analysis data transformation Dempster-Shafer evidence theory distance distance induced vague entropy dual-tasking effective transfer entropy electroencephalography (EEG) embedded dimension empirical mode decomposition entropy entropy balance equation entropy measure entropy measures entropy visualization experiment of design fault diagnosis firefly algorithm geodesic distance global optimization image entropy information information entropy information transfer Kolmogorov-Sinai entropy learning learning systems linear discriminant analysis (LDA) machine learning evaluation market crash meta-heuristic multivariate analysis non-probabilistic entropy novelty detection ordinal patterns parametric t-distributed stochastic neighbor embedding particle size distribution permutation entropy Permutation entropy plausibility transformation relevance analysis sample entropy selfsimilar measure Shannon entropy Shannon-type relations short time records signal analysis signal classification similarity indices simulation support vector machine support vector machine (SVM) symbolic analysis synchronization analysis system coupling treadmill walking Tsallis entropy uncertainty of basic probability assignment vague entropy weighted Hartley entropy |
| ISBN | 3-03928-033-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Entropy Measures for Data Analysis |
| Record Nr. | UNINA-9910367736303321 |
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Keller Karsten
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods
| Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods |
| Autore | Mielniczuk Jan |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (226 p.) |
| Soggetto topico |
History of engineering and technology
Mechanical engineering and materials Technology: general issues |
| Soggetto non controllato |
adaptive splines
archimedean copula B-splines change points CIFE CMI conditional infomax feature extraction conditional mutual information consistency consistent selection entropy estimation extreme-value copula gaussian mixture generalized information criterion generative tree model high-dimensional regression high-dimensional time series influence functions information measures information theory JMI joint mutual information criterion kernel estimation learning systems loss function Markov blanket maximum likelihood estimation minimum distance estimation misclassification risk misspecification model misspecification multivariate analysis n/a network estimation nonparametric variable selection criteria nonstationarity parameter estimation penalized estimation prediction methods privacy random predictors right-censored data robustness semiparametric regression statistical learning theory subgaussianity supervised classification synthetic data transformation tail dependency time series variable selection consistency |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873203321 |
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Mielniczuk Jan
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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