Results 11 to 20 of about 55,356 (266)
Clinical Psychology Review, 2010 Optimism is an individual difference variable that reflects the extent to which people hold generalized favorable expectancies for their future. Higher levels of optimism have been related prospectively to better subjective well-being in times of adversity or difficulty (i.e., controlling for previous well-being).
Charles S, Carver +2 more
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Batteries, 2022 Recently, electric vehicle (EV) technology has received massive attention worldwide due to its improved performance efficiency and significant contributions to addressing carbon emission problems.
Molla Shahadat Hossain Lipu +11 more
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On the Optimality of Optimal Income Taxation [PDF]
SSRN Electronic Journal, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Human Vaccines & Immunotherapeutics, 2022 Genetic optimization of Nucleic Acid immunogens is important for potentially improving their immune potency. A COVID-19 DNA vaccine is in phase III clinical trial which is based on a promising highly developable technology platform.
Sheng Jiang +17 more
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Asymptotic optimality in stochastic optimization [PDF]
The Annals of Statistics, 2021 We study local complexity measures for stochastic convex optimization problems, providing a local minimax theory analogous to that of Hájek and Le Cam for classical statistical problems. We give complementary optimality results, developing fully online methods that adaptively achieve optimal convergence guarantees. Our results provide function-specific
Duchi, John C., Ruan, Feng
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Optimizing microservices with hyperparameter optimization
2021 17th International Conference on Mobility, Sensing and Networking (MSN), 2021 In the last few years, the cloudification of applications requires new concepts and techniques to fully reap the benefits of the new computing paradigm. Among them, the microservices architectural style, which is inspired by service-oriented architectures, has gained attention from both industry and academia.
Hai Dinh-Tuan +2 more
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Fully Automated Optimization of Robot‐Based MOF Thin Film Growth via Machine Learning Approaches
Advanced Materials Interfaces, 2023 Metal–organic frameworks (MOFs), have emerged as ideal class of materials for the identification of structure–property relationships and for the targeted design of multifunctional materials for diverse applications.
Lena Pilz +7 more
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Optimization and Optimizers for Adversarial Robustness
CoRR, 2023 Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization problems. Existing numerical algorithms that are commonly used to solve them in practice predominantly rely on projected gradient, and mostly handle perturbations modeled by the $\ell_1$, $\ell_2$ and $\ell_\
Hengyue Liang +5 more
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Optimal Solvers for PDE-Constrained Optimization [PDF]
SIAM Journal on Scientific Computing, 2010 Optimization problems with constraints which require the solution of a partial differential equation arise widely in many areas of the sciences and engineering, in particular in problems of design. The solution of such PDE-constrained optimization problems is usually a major computational task.
Tyrone Rees +2 more
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Physical Review Letters, 2022 9 pages, 4 figures. Accompanying paper of arXiv:2111.12130.
Kamil Korzekwa, Matteo Lostaglio
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