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pro vyhledávání: '"Williams, Andrew Robert"'
Autor:
Williams, Andrew Robert, Ashok, Arjun, Marcotte, Étienne, Zantedeschi, Valentina, Subramanian, Jithendaraa, Riachi, Roland, Requeima, James, Lacoste, Alexandre, Rish, Irina, Chapados, Nicolas, Drouin, Alexandre
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks crucial context necessary for accurate predictions. Human forecasters frequently rely on additional information, such
Externí odkaz:
http://arxiv.org/abs/2410.18959
Autor:
Rasul, Kashif, Ashok, Arjun, Williams, Andrew Robert, Ghonia, Hena, Bhagwatkar, Rishika, Khorasani, Arian, Bayazi, Mohammad Javad Darvishi, Adamopoulos, George, Riachi, Roland, Hassen, Nadhir, Biloš, Marin, Garg, Sahil, Schneider, Anderson, Chapados, Nicolas, Drouin, Alexandre, Zantedeschi, Valentina, Nevmyvaka, Yuriy, Rish, Irina
Over the past years, foundation models have caused a paradigm shift in machine learning due to their unprecedented capabilities for zero-shot and few-shot generalization. However, despite the success of foundation models in modalities such as natural
Externí odkaz:
http://arxiv.org/abs/2310.08278
Autor:
Williams, Andrew Robert.
Thesis (M.S.)--University of Wisconsin--Madison, 2005.
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 135-138).
Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 135-138).
Externí odkaz:
http://catalog.hathitrust.org/api/volumes/oclc/64281673.html
Autor:
Williams, Andrew Robert
Publikováno v:
Graduate Theses and Dissertations.
Metakaolin is a pozzolanic material with the potential to reduce permeability and chloride ingress; however, quantification of the effects of metakaolin use on the cracking sensitivity of concrete mixtures is needed to ensure that these improvements