Results 31 to 40 of about 826,247 (265)
Research on Data-Driven Optimal Scheduling of Power System
Energies, 2023 The uncertainty of output makes it difficult to effectively solve the economic security dispatching problem of the power grid when a high proportion of renewable energy generating units are integrated into the power grid.
Jianxun Luo +4 more
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Advantage estimator based on importance sampling
Tongxin xuebao, 2019 In continuous action tasks,deep reinforcement learning usually uses Gaussian distribution as a policy function.Aiming at the problem that the Gaussian distribution policy function slows down due to the clipped action,an importance sampling advantage ...
Quan LIU, Yubin JIANG, Zhihui HU
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Applied Sciences, 2019 This paper concentrates on the capacity credit (CC) evaluation of wind energy, where a new method for constructing the joint distribution of wind speed and load is proposed.
Jilin Cai +3 more
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Support Vector Machine-Assisted Importance Sampling for Optimal Reliability Design
Applied Sciences, 2022 A population-based optimization algorithm combining the support vector machine (SVM) and importance sampling (IS) is proposed to achieve a global solution to optimal reliability design.
Chunyan Ling, Jingzhe Lei, Way Kuo
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Stochastic Enumeration with Importance Sampling [PDF]
Methodology and Computing in Applied Probability, 2018 Many hard problems in the computational sciences are equivalent to counting the leaves of a decision tree, or, more generally, summing a cost function over the nodes. These problems include calculating the permanent of a matrix, finding the volume of a convex polyhedron, and counting the number of linear extensions of a partially ordered set.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Approximate Methods for Maximum Likelihood Estimation of Multivariate Nonlinear Mixed-Effects Models
Entropy, 2015 Multivariate nonlinear mixed-effects models (MNLMM) have received increasing use due to their flexibility for analyzing multi-outcome longitudinal data following possibly nonlinear profiles.
Wan-Lun Wang
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Importance Sampling for Multiscale Diffusions [PDF]
Multiscale Modeling & Simulation, 2012 We construct importance sampling schemes for stochastic differential equations with small noise and fast oscillating coefficients. Standard Monte Carlo methods perform poorly for these problems in the small noise limit. With multiscale processes there are additional complications, and indeed the straightforward adaptation of methods for standard small ...
Paul Dupuis +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
Brazilian Journal of Probability and StatisticsFixed a few typos and errors, and added a real data ...
Datta, Jyotishka, Polson, Nicholas G.
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