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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
| Advances in Artificial Intelligence: Models, Optimization, and Machine Learning |
| Autore | Leon Florin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (362 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
large margin nearest neighbor regression
distance metrics prototypes evolutionary algorithm approximate differential optimization multiple point hill climbing adaptive sampling free radical polymerization autonomous driving object tracking trajectory prediction deep neural networks stochastic methods applied machine learning classification and regression data mining ensemble model engineering informatics gender-based violence in Mexico twitter messages class imbalance k-nearest neighbor instance-based learning graph neural network deep learning hyperparameters machine learning optimization inference metaheuristics animal-inspired exploration exploitation hot rolled strip steel surface defects defect classification knockout tournament dynamic programming algorithm computational complexity combinatorics intelligent transport systems traffic control spatial-temporal variable speed limit multi-agent systems reinforcement learning distributed W-learning urban motorways multi-agent framework NET framework simulations agent-based systems agent algorithms software design multisensory fingerprint interoperability DeepFKTNet classification generative adversarial networks image classification transfer learning plastic bottle |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Artificial Intelligence |
| Record Nr. | UNINA-9910580212403321 |
Leon Florin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computation in Complex Networks
| Computation in Complex Networks |
| Autore | Pizzuti Clara |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
city interaction network
evolution model preferential attachment maximum likelihood chimera states coupled map lattice nilpotent matrix community detection membrane algorithm self-organizing map network complex networks optimization structural balance minimum memory based sign adjustment social networks NW network convergence complex system simulation cloud computing architecture service-oriented modeling semantic search framework QoS-based service selection cascading failures network topology null models SciSci knowledge evolution machine learning bridging centrality disjoint nodes disjunct nodes node similarity overlapping nodes Bayesian networks entropy socio-ecological system complex network chaotic time series Gaussian mixture model maximum mean discrepancy angiogenesis network properties variational inference graph neural network variational autoencoder network embedding online social networks social media information spreading information diffusion cross-entropy cross-domain recommendation sentiment analysis latent sentiment review feature non-linear mapping dissimilarity spaces support vector machines kernel methods computational biology systems biology protein contact networks data mining overlapping communities modularity literary works genre classification stylistic attributes lemmatization renormalisation process network growth inverse preferential attachment language networks language development multilayer complex networks stability spreading control graph neural networks node classification active learning graph representation learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557395103321 |
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Pizzuti Clara
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Principles and Applications of Data Science
| Principles and Applications of Data Science |
| Autore | Liu Chuan-Ming |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (168 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
deep learning
user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580211103321 |
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Liu Chuan-Ming
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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