Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Bayesian search theory"'
Publikováno v:
Frontiers in Ecology and Evolution, Vol 10 (2022)
Some cryptic animals have conspicuous color patches that are displayed when they move. This “flash behavior” may serve several functions, but perhaps the most widely invoked explanation is that the display makes it harder for the signaler to be f
Externí odkaz:
https://doaj.org/article/4b7596f1215a4a4791a28c9eeb0bcb2d
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2021 (2021)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Alzheimer’s disease (AD) is one of the most important causes of mortality in elderly people, and it is often challenging to use traditional manual procedures when diagnosing a disease in the early stages. The successful implementation of machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35ae0ee98722077674f2ee83c84fb7da
https://doi.org/10.1155/2021/4186666
https://doi.org/10.1155/2021/4186666
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 14131-14179 (2014)
The minimum time search in uncertain domains is a searching task, which appears in real world problems such as natural disasters and sea rescue operations, where a target has to be found, as soon as possible, by a set of sensor-equipped searchers. Th
Externí odkaz:
https://doaj.org/article/81ca966c61694e6fb9968c982d4918ac
Autor:
Hendri Murfi, I. Gede Pajar Bahari
Publikováno v:
Journal of Advanced Research in Dynamical and Control Systems. 12:1510-1517
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::868931513e130f1dc1ffdee0cfb48d87
https://doi.org/10.5373/jardcs/v12sp4/20201630
https://doi.org/10.5373/jardcs/v12sp4/20201630
Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principle Simulations
Publikováno v:
Journal of the American Chemical Society. 143(47)
Artificial intelligence (AI) based self-learning or self-improving material discovery system will enable next-generation material discovery. Herein, we demonstrate how to combine accurate prediction of material performance via first-principle calcula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a5f9d0c0c0c2568856110098a992e0a
https://pubmed.ncbi.nlm.nih.gov/34788033
https://pubmed.ncbi.nlm.nih.gov/34788033
Publikováno v:
GECCO
This work proposes a Bayesian optimisation with Gaussian Process approach to learn decision maker (DM) preferences in the attribute search space of a multi-objective optimisation problem (MOP). The DM is consulted periodically during optimisation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e578c6430927e3c338669665a0c90395
https://doi.org/10.1145/3449639.3459299
https://doi.org/10.1145/3449639.3459299
Autor:
Juan Bautista Bordón-Ruiz, José Antonio López-Orozco, Eva Besada-Portas, José L. Risco-Martín
Publikováno v:
SIGSIM-PADS
Searching for targets from a group of Unmanned Aerial Vehicles (UAVs) is a complex problem, whose applications range from the localization of military targets to search and rescue missions. Determining the best locations to search within the mission
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884aae86e4c24e0b107bf19c6fc370b7
https://doi.org/10.1145/3437959.3459253
https://doi.org/10.1145/3437959.3459253
Autor:
Yong-Ju Lee, Yong-Hyuk Moon
Publikováno v:
ICTC
This paper proposes a new roll-out scaling method for parallel Bayesian optimization and discusses how the proposed multi-scaled optimization guarantees a better convergence speed with outperformed accuracy than the conventional parallel search algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcfc894a7e49cbd819bbbb215a0a4231
https://doi.org/10.1109/ictc49870.2020.9289573
https://doi.org/10.1109/ictc49870.2020.9289573
Autor:
Andrew I. Cooper, Nicola Rankin, Ben M. Alston, Phillip M. Maffettone, Buyi Li, Yang Bai, Brandon Harris, Catherine M. Aitchison, Benjamin Burger, Xiaobo Li, Vladimir V. Gusev, Xiaoyan Wang, Reiner Sebastian Sprick, Rob Clowes
Publikováno v:
Nature
Technologies such as batteries, biomaterials and heterogeneous catalysts have functions that are defined by mixtures of molecular and mesoscale components. As yet, this multi-length-scale complexity cannot be fully captured by atomistic simulations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ef644b50669cb5b4bc5e5b1d80f553f
https://strathprints.strath.ac.uk/74759/1/Burger_etal_Nature_2020_A_mobile_robotic.pdf
https://strathprints.strath.ac.uk/74759/1/Burger_etal_Nature_2020_A_mobile_robotic.pdf
Autor:
Jie Zou, Evangelos Kanoulas
Publikováno v:
ACM Transactions on Information Systems. 38(3)
While continuous active learning algorithms have proven effective in finding most of the relevant documents in a collection, the cost for locating the last few remains high for applications such as Technology-assisted Reviews (TAR). To locate these l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea2b1c8d6d57a211b11740464e72676b
https://hdl.handle.net/11245.1/d9e6017f-4b47-4e22-8601-7828984b40ed
https://hdl.handle.net/11245.1/d9e6017f-4b47-4e22-8601-7828984b40ed