Zobrazeno 1 - 10
of 402
pro vyhledávání: '"P Hassibi"'
Publikováno v:
پژوهشهای زراعی ایران, Vol 22, Iss 3, Pp 243-259 (2024)
IntroductionThe food providing for the growing world population has always been one of the main concerns of mankind and rice is one of the most important sources of human food. The importance of rice plant in human nutrition and the necessity of achi
Externí odkaz:
https://doaj.org/article/7f1c155e451c4f598ea463e9fc0d82da
Publikováno v:
پژوهشهای زراعی ایران, Vol 19, Iss 4, Pp 311-325 (2021)
IntroductionCamelina [Camelina sativa (L.) Crantz] oilseed is a low-input crop that grows and yields well in semiarid regions with low-fertility or saline soils in comparison with other crops. Camelina seeds contain 30–40 percent oil. Camelina is a
Externí odkaz:
https://doaj.org/article/b70b2e4123f749f5b3e5b87719f44217
Transfer learning is an attractive framework for problems where there is a paucity of data, or where data collection is costly. One common approach to transfer learning is referred to as "model-based", and involves using a model that is pretrained on
Externí odkaz:
http://arxiv.org/abs/2410.02164
We study the problem of mixed $\mathit{H}_2/\mathit{H}_\infty$ control in the infinite-horizon setting. We identify the optimal causal controller that minimizes the $\mathit{H}_2$ cost of the closed-loop system subject to an $\mathit{H}_\infty$ const
Externí odkaz:
http://arxiv.org/abs/2409.20020
We explore the infinite-horizon Distributionally Robust (DR) linear-quadratic control. While the probability distribution of disturbances is unknown and potentially correlated over time, it is confined within a Wasserstein-2 ball of a radius $r$ arou
Externí odkaz:
http://arxiv.org/abs/2408.06230
This paper investigates the distributionally robust filtering of signals generated by state-space models driven by exogenous disturbances with noisy observations in finite and infinite horizon scenarios. The exact joint probability distribution of th
Externí odkaz:
http://arxiv.org/abs/2407.18837
We consider the problem of remotely stabilizing a linear dynamical system. In this setting, a sensor co-located with the system communicates the system's state to a controller over a noisy communication channel with feedback. The objective of the con
Externí odkaz:
http://arxiv.org/abs/2406.17196
We study the infinite-horizon distributionally robust (DR) control of linear systems with quadratic costs, where disturbances have unknown, possibly time-correlated distribution within a Wasserstein-2 ambiguity set. We aim to minimize the worst-case
Externí odkaz:
http://arxiv.org/abs/2406.07248
We consider the rate-distortion function for lossy source compression, as well as the channel capacity for error correction, through the lens of distributional robustness. We assume that the distribution of the source or of the additive channel noise
Externí odkaz:
http://arxiv.org/abs/2405.06528
We study the use of linear regression for multiclass classification in the over-parametrized regime where some of the training data is mislabeled. In such scenarios it is necessary to add an explicit regularization term, $\lambda f(w)$, for some conv
Externí odkaz:
http://arxiv.org/abs/2402.10474