Zobrazeno 1 - 10
of 1 501
pro vyhledávání: '"J.. Bagnell"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 30
Instrumental variable regression (IVR) is a statistical technique utilized to recover unbiased estimators when there are errors in the independent variables. Estimator bias in learned time series models can yield poor performance in applications such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb22de148b8f96afa11bba3d18c2e3d
https://doi.org/10.1609/aaai.v30i1.10215
https://doi.org/10.1609/aaai.v30i1.10215
Autor:
Wang, Jingchen1 (AUTHOR) t231d013@gunma-u.ac.jp, Motegi, Kazuhiro1 (AUTHOR) motegi@gunma-u.ac.jp, Shiraishi, Yoichi1 (AUTHOR) motegi@gunma-u.ac.jp, Hashimoto, Seiji1 (AUTHOR)
Publikováno v:
Energies (19961073). Dec2024, Vol. 17 Issue 23, p6054. 13p.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
How should we gather information to make effective decisions? A classical answer to this fundamental problem is given by the decision-theoretic value of information. Unfortunately, optimizing this objective is intractable, and myopic (greedy) approxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ee103b50f2c129555ffaca7cc9302b
https://doi.org/10.1609/aaai.v29i1.9694
https://doi.org/10.1609/aaai.v29i1.9694
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
Most typical statistical and machine learning approaches to time series modeling optimize a single-step prediction error. In multiple-step simulation, the learned model is iteratively applied, feeding through the previous output as its new input. Any
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dfa43215e1b361ae5e56fb0b5a2299b
https://doi.org/10.1609/aaai.v29i1.9590
https://doi.org/10.1609/aaai.v29i1.9590
Autor:
Kaminski, Jennifer W.1 (AUTHOR) jkaminski@cdc.gov, Claussen, Angelika H.2 (AUTHOR), Sims, Rebekah S.1 (AUTHOR), Bhupalam, Sivapriya2,3 (AUTHOR)
Publikováno v:
Journal of Clinical Child & Adolescent Psychology. Oct2024, p1-30. 30p.
Autor:
Ul Islam, Naeem1 (AUTHOR) naeem@saturn.yzu.edu.tw, Gul, Kaynat2 (AUTHOR), Faizullah, Faiz2 (AUTHOR), Ullah, Syed Sajid3 (AUTHOR) syed.s.ullah@uia.no, Syed, Ikram4 (AUTHOR) ikram@gachon.ac.kr
Publikováno v:
PLoS ONE. 10/11/2024, Vol. 19 Issue 10, p1-24. 24p.
Autor:
Nguyen, Khang H. N.1 (AUTHOR) khnguy22@ncsu.edu, Rivas, Andy1 (AUTHOR), Delipei, Gregory Kyriakos1 (AUTHOR), Hou, Jason1 (AUTHOR) jhou8@ncsu.edu
Publikováno v:
Journal of Nuclear Engineering (JNE). Sep2024, Vol. 5 Issue 3, p209-225. 17p.
Autor:
Hammoud, Mohamad Abed El Rahman1 (AUTHOR), Raboudi, Naila1 (AUTHOR), Titi, Edriss S.2,3 (AUTHOR), Knio, Omar1 (AUTHOR), Hoteit, Ibrahim1 (AUTHOR) ibrahim.hoteit@kaust.edu.sa
Publikováno v:
Journal of Advances in Modeling Earth Systems. Aug2024, Vol. 16 Issue 8, p1-22. 22p.
Autor:
Sue J. Bagnell
The objective of this study was to analyze bibliometric data from ISI, National Institutes of Health (NIH)-funding data, and faculty size information for Association of American Medical Colleges (AAMC) member schools during 1997 to 2007 to assess res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38dacf5bc91e7b23e94da2890f479544
https://europepmc.org/articles/PMC2759161/
https://europepmc.org/articles/PMC2759161/
Autor:
Ping, Yaoyao1 (AUTHOR), Liu, Yongkui1 (AUTHOR) yongkuiliu@163.com, Zhang, Lin2 (AUTHOR), Wang, Lihui3 (AUTHOR), Xu, Xun4 (AUTHOR)
Publikováno v:
Journal of Intelligent Manufacturing. Dec2024, Vol. 35 Issue 8, p3889-3916. 28p.