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Approximate Bayesian Inference
| Approximate Bayesian Inference |
| Autore | Alquier Pierre |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (508 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
bifurcation
dynamical systems Edward–Sokal coupling mean-field Kullback–Leibler divergence variational inference Bayesian statistics machine learning variational approximations PAC-Bayes expectation-propagation Markov chain Monte Carlo Langevin Monte Carlo sequential Monte Carlo Laplace approximations approximate Bayesian computation Gibbs posterior MCMC stochastic gradients neural networks Approximate Bayesian Computation differential evolution Markov kernels discrete state space ergodicity Markov chain probably approximately correct variational Bayes Bayesian inference Markov Chain Monte Carlo Sequential Monte Carlo Riemann Manifold Hamiltonian Monte Carlo integrated nested laplace approximation fixed-form variational Bayes stochastic volatility network modeling network variability Stiefel manifold MCMC-SAEM data imputation Bethe free energy factor graphs message passing variational free energy variational message passing approximate Bayesian computation (ABC) differential privacy (DP) sparse vector technique (SVT) Gaussian particle flow variable flow Langevin dynamics Hamilton Monte Carlo non-reversible dynamics control variates thinning meta-learning hyperparameters priors online learning online optimization gradient descent statistical learning theory PAC–Bayes theory deep learning generalisation bounds Bayesian sampling Monte Carlo integration PAC-Bayes theory no free lunch theorems sequential learning principal curves data streams regret bounds greedy algorithm sleeping experts entropy robustness statistical mechanics complex systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576874903321 |
Alquier Pierre
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization Methods Applied to Power Systems Ⅱ
| Optimization Methods Applied to Power Systems Ⅱ |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (350 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
electricity markets
economic dispatch optimization maximum capacity online operation power system unit commitment circuit breaker network modeling optimal power flow wind and solar energies gas insulated switchgear partial discharges electromagnetic wave propagation UHF measurement Security-Constraint Unit Commitment sensitivity factors user cuts power line communication (PLC) energy storage management vehicle to grid (V2G) smart grid multi-objective optimization population-based intelligent optimization algorithm multi-behavior combination algorithm framework Economic load dispatch (ELD) dragonfly algorithm metaheuristic particle swarm optimization cold-thermal-electricity integrated energy system multi-energy complementation feasible interval of load rate multi-objective multi time scales optimize operation earthing earthing system optimisation Ansys Maxwell sensitivity analysis touch voltage non-linear programming security-constrained OPF preventive control corrective control post-contingency overflow transmission line thermal inertia Three-phase optimal power flow voltage regulation distributed generation distribution transformer taps linear OPF problem shift-factors line outage distribution factors security-constrained corrective formulation preventive formulation klystron IOT resotrode efficiency microwave bunching computer simulation global optimization power quality disturbances classification feature selection swarm optimization support vector machine genetic algorithm K-NN algorithm decision tree S-transform optimization techniques hydroelectric renewable energy MCDM fuzzy theory FANP TOPSIS quadratically constrained quadratic programming contingency constrained optimal power flow isolated hybrid microgrid system (IHμGS) solar tower (ST) biodiesel power generator (BDPG) frequency regulation butterfly optimization technique (BOA) microgrid energy management electric vehicle microgrid energy efficiency |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557780003321 |
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Montoya Francisco G
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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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