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Statistical Data Modeling and Machine Learning with Applications
| Statistical Data Modeling and Machine Learning with Applications |
| Autore | Gocheva-Ilieva Snezhana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (184 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
artificial neural networks
assessment banking brain-computer interface breast cancer subtyping CART ensembles and bagging categorical data citizen science classification classification and regression tree clustering CNN-LSTM architectures consensus models convexity cross-validation dam inflow prediction damped Newton data quality data-adaptive kernel functions deep forest EEG motor imagery ensemble model feature selection Gower's interpolation formula Gower's metric hedonic prices housing hyper-parameter optimization image data input predictor selection kernel clustering kernel density estimation long short-term memory machine learning mathematical competency METABRIC dataset mixed data multi-category classifier multi-omics data multidimensional scaling multivariate adaptive regression splines n/a non-linear optimization predictive models quantile regression real-time motion imagery recognition similarity stochastic gradient descent support vector machine wavelet transform |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557359003321 |
Gocheva-Ilieva Snezhana
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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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Statistical Machine Learning for Human Behaviour Analysis
| Statistical Machine Learning for Human Behaviour Analysis |
| Autore | Moeslund Thomas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (300 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D convolutional neural networks
accuracy action recognition adaptive classifiers age classification attention allocation attention behavior biometric recognition blurring detection body movements boundary segmentation categorical data committee of classifiers concept drift context-aware framework convolutional neural network deep learning discrete stationary wavelet transform emotion recognition Empatica E4 ensemble methods face analysis face segmentation false negative rate fibromyalgia fingerprint image enhancement fingerprint quality foggy image frequency domain gait event gender classification gestures hand sign language head pose estimation hybrid entropy individual behavior estimation information entropy interpretable machine learning k-means clustering Kinect sensor Learning Using Concave and Convex Kernels multi-modal multi-objective evolutionary algorithms multimodal-based human identification neural networks noisy image object contour detection privacy privacy-aware profoundly deaf recurrent concepts restricted Boltzmann machine (RBM) rule-based classifiers saliency detection self-reported survey silhouettes difference single pixel single photon image acquisition singular point detection spatial domain spectrograms speech speech emotion recognition statistical-based time-frequency domain and crowd condition stock price direction prediction time-of-flight toe-off detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288403321 |
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Moeslund Thomas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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