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Advances in Credit Risk Modeling and Management
| Advances in Credit Risk Modeling and Management |
| Autore | Vrins Frédéric |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico | Coins, banknotes, medals, seals (numismatics) |
| Soggetto non controllato |
recovery rates
beta regression credit risk contingent convertible debt financial modelling risk management financial crisis recovery rate loss given default model ambiguity default time no-arbitrage reduced-form HJM models recovery process Counterparty Credit Risk Hidden Markov Model Risk Factor Evolution Backtesting FX rate Geometric Brownian Motion trade credit small and micro-enterprises financial non-financial variables risk assessment logistic regression probability of default wrong-way risk dependence urn model counterparty risk credit valuation adjustment (CVA) XVA (X-valuation adjustments) compression genetic algorithm |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557403603321 |
Vrins Frédéric
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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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Dynamic Systems Models : New Methods of Parameter and State Estimation / Josif A. Boguslavskiy ; Mark Borodovsky editor
| Dynamic Systems Models : New Methods of Parameter and State Estimation / Josif A. Boguslavskiy ; Mark Borodovsky editor |
| Autore | Boguslavskiy, Josif A. |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xx, 201 p. ; 24 cm |
| Soggetto topico |
68W40 - Analysis of algorithms [MSC 2020]
37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020] 93E11 - Filtering in stochastic control theory [MSC 2020] 93E10 - Estimation and detection in stochastic control theory [MSC 2020] 93-XX - Systems theory; control [MSC 2020] 65L09 - Numerical methods of inverse problems involving ordinary differential equations [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] |
| Soggetto non controllato |
Aerospatial Dynamics
Asset pricing Biological Sequence Analysis Hidden Markov Model Inverse Problems Parameter Estimation Polynomial Approximation Speech Recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0162131 |
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Boguslavskiy, Josif A.
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dynamic Systems Models : New Methods of Parameter and State Estimation / Josif A. Boguslavskiy ; Mark Borodovsky editor
| Dynamic Systems Models : New Methods of Parameter and State Estimation / Josif A. Boguslavskiy ; Mark Borodovsky editor |
| Autore | Boguslavskiy, Josif A. |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | xx, 201 p. ; 24 cm |
| Soggetto topico |
37Mxx - Approximation methods and numerical treatment of dynamical systems [MSC 2020]
62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 65L09 - Numerical methods of inverse problems involving ordinary differential equations [MSC 2020] 68W40 - Analysis of algorithms [MSC 2020] 93-XX - Systems theory; control [MSC 2020] 93E10 - Estimation and detection in stochastic control theory [MSC 2020] 93E11 - Filtering in stochastic control theory [MSC 2020] |
| Soggetto non controllato |
Aerospatial Dynamics
Asset pricing Biological Sequence Analysis Hidden Markov Model Inverse Problems Parameter Estimation Polynomial Approximation Speech Recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00162131 |
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Boguslavskiy, Josif A.
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| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Machine Learning and Data Mining Applications in Power Systems
| Machine Learning and Data Mining Applications in Power Systems |
| Autore | Leonowicz Zbigniew |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Energy industries & utilities |
| Soggetto non controllato |
virtual power plant (VPP)
power quality (PQ) global index distributed energy resources (DER) energy storage systems (ESS) power systems long-term assessment battery energy storage systems (BESS) smart grids conducted disturbances power quality supraharmonics 2-150 kHz Power Line Communications (PLC) intentional emission non-intentional emission mains signalling virtual power plant data mining clustering distributed energy resources energy storage systems short term conditions cluster analysis (CA) nonlinear loads harmonics, cancellation, and attenuation of harmonics waveform distortion THDi low-voltage networks optimization techniques different batteries off-grid microgrid integrated renewable energy system cluster analysis K-means agglomerative ANFIS fuzzy logic induction generator MPPT neural network renewable energy variable speed WECS wind energy conversion system wind energy frequency estimation spectrum interpolation power network disturbances COVID-19 time-varying reproduction number social distancing load profile demographic characteristic household energy consumption demand-side management energy management time series Hidden Markov Model short-term forecast sparse signal decomposition supervised dictionary learning dictionary impulsion singular value decomposition discrete cosine transform discrete Haar transform discrete wavelet transform transient stability assessment home energy management binary-coded genetic algorithms optimal power scheduling demand response Data Injection Attack machine learning critical infrastructure smart grid water treatment plant power system |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576877503321 |
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Leonowicz Zbigniew
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
| Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li |
| Autore | Zhou Xuefeng |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.) |
| Disciplina | 629.892 |
| Soggetto topico |
Robotics
Automation Statistics Control engineering Mechatronics Machine learning Mathematical models Robotics and Automation Bayesian Inference Control, Robotics, Mechatronics Machine Learning Mathematical Modeling and Industrial Mathematics |
| Soggetto non controllato |
Robotics and Automation
Bayesian Inference Control, Robotics, Mechatronics Machine Learning Mathematical Modeling and Industrial Mathematics Robotic Engineering Control, Robotics, Automation Collaborative Robot Introspection Nonparametric Bayesian Inference Anomaly Monitoring and Diagnosis Multimodal Perception Anomaly Recovery Human-robot Collaboration Robot Safety and Protection Hidden Markov Model Robot Autonomous Manipulation open access Robotics Bayesian inference Automatic control engineering Electronic devices & materials Machine learning Mathematical modelling Maths for engineers |
| ISBN | 981-15-6263-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Robot Introspection -- Nonparametric Bayesian Modeling of Multimodal Time Series -- Incremental Learning Robot Complex Task Representation and Identification -- Nonparametric Bayesian Method for Robot Anomaly Monitoring -- Nonparametric Bayesian Method for Robot Anomaly Diagnose -- Learning Policy for Robot Anomaly Recovery based on Robot. |
| Record Nr. | UNISA-996418268803316 |
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Zhou Xuefeng
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
| Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li |
| Autore | Zhou Xuefeng |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.) |
| Disciplina | 629.892 |
| Soggetto topico |
Robotics
Automation Statistics Control engineering Mechatronics Machine learning Mathematical models Robotics and Automation Bayesian Inference Control, Robotics, Mechatronics Machine Learning Mathematical Modeling and Industrial Mathematics |
| Soggetto non controllato |
Robotics and Automation
Bayesian Inference Control, Robotics, Mechatronics Machine Learning Mathematical Modeling and Industrial Mathematics Robotic Engineering Control, Robotics, Automation Collaborative Robot Introspection Nonparametric Bayesian Inference Anomaly Monitoring and Diagnosis Multimodal Perception Anomaly Recovery Human-robot Collaboration Robot Safety and Protection Hidden Markov Model Robot Autonomous Manipulation open access Robotics Bayesian inference Automatic control engineering Electronic devices & materials Machine learning Mathematical modelling Maths for engineers |
| ISBN | 981-15-6263-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Robot Introspection -- Nonparametric Bayesian Modeling of Multimodal Time Series -- Incremental Learning Robot Complex Task Representation and Identification -- Nonparametric Bayesian Method for Robot Anomaly Monitoring -- Nonparametric Bayesian Method for Robot Anomaly Diagnose -- Learning Policy for Robot Anomaly Recovery based on Robot. |
| Record Nr. | UNINA-9910416119103321 |
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Zhou Xuefeng
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / Xuefeng Zhou ... [et al.]
| Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / Xuefeng Zhou ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xv, 137 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 93-XX - Systems theory; control [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] |
| Soggetto non controllato |
Anomaly Monitoring and Diagnosis
Anomaly Recovery Collaborative Robot Introspection Hidden Markov Model Human-robot Collaboration Multimodal Perception Nonparametric Bayesian Inference Robot Autonomous Manipulation Robot Safety and Protection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250242 |
| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / Xuefeng Zhou ... [et al.]
| Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / Xuefeng Zhou ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xv, 137 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 93-XX - Systems theory; control [MSC 2020] |
| Soggetto non controllato |
Anomaly Monitoring and Diagnosis
Anomaly Recovery Collaborative Robot Introspection Hidden Markov Model Human-robot Collaboration Multimodal Perception Nonparametric Bayesian Inference Robot Autonomous Manipulation Robot Safety and Protection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00250242 |
| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Sensing and Signal Processing in Smart Healthcare
| Sensing and Signal Processing in Smart Healthcare |
| Autore | Zhao Wenbing |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (198 p.) |
| Soggetto topico |
Language
English language teaching (ELT) |
| Soggetto non controllato |
smart homes
Internet of Things (IoT) Wi-Fi human monitoring behavioral analysis ambient assisted living intelligent luminaires wireless sensor network indoor localisation indoor monitoring Graphics Processing Units (GPUs) CUDA OpenMP OpenCL K-means brain cancer detection hyperspectral imaging unsupervised clustering impaired sensor Structural Health Monitoring Time of Flight subharmonics Cascaded-Integrator-Comb (CIC) filter FPGA fixed point math data adaptive demodulator motion estimation inertial sensors simulation spline function Kalman filter eHealth software engineering gesture recognition Dynamic Time Warping Hidden Markov Model usability Cramér-Rao lower bound (CRLB) human motion Inertial Measurement Unit (IMU) Time of Arrival (TOA) wearable sensors endothelial dysfunction photoplethysmography machine learning computer-assisted screening sleep pose recognition keypoints feature matching Bayesian inference near-infrared images scale invariant feature transform heartbeat classification arrhythmia denoising autoencoder autoencoder deep learning auditory perception biometrics computer vision web control access web security human-computer interaction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557483503321 |
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Zhao Wenbing
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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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Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione
| Supervised Learning with Quantum Computers / Maria Schuld, Francesco Petruccione |
| Autore | Schuld, Maria |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xiii, 297 p. : ill. ; 24 cm |
| Altri autori (Persone) | Petruccione, Francesco |
| Soggetto topico |
81P68 - Quantum computation [MSC 2020]
68Qxx - Theory of computing [MSC 2020] 81-XX - Quantum theory [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] |
| Soggetto non controllato |
Adiabatic quantum computing
Artificial neural network Belief nets Boltzmann machines Data driven prediction Deutsch-Josza algorithm Grover search Hidden Markov Model Hopfield models Kernel methods Near term application Qsample encoding Quantum Walks Quantum annealing Quantum blas Quantum gates Quantum inference Quantum machine learning Quantum phase estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0211752 |
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Schuld, Maria
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| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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