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pro vyhledávání: '"A. Tashman"'
Autor:
Laura Tashman
Publikováno v:
Axis, Vol 4, Iss 2, Pp 93-102 (2023)
Using metals to produce objects to be used was not introduced to the land of Israel before the Chalcolithic period. This resulted in an enormous revolution in the culture, along with the technological method of processing these metals, this developme
Externí odkaz:
https://doaj.org/article/45fe9e0d17fe46cca80fecb6f834dcd1
Autor:
Tashman, Michael, Hoffman, John, Xie, Jiayi, Ye, Fengdan, Morsali, Atefeh, Winikor, Lee, Gerami, Rouzbeh
Reinforcement learning (RL) is an effective technique for training decision-making agents through interactions with their environment. The advent of deep learning has been associated with highly notable successes with sequential decision making probl
Externí odkaz:
http://arxiv.org/abs/2105.10587
Publikováno v:
In Journal of Business Venturing January 2024 39(1)
Many online applications running on live traffic are powered by machine learning models, for which training, validation, and hyper-parameter tuning are conducted on historical data. However, it is common for models demonstrating strong performance in
Externí odkaz:
http://arxiv.org/abs/2101.10385
Autor:
Petropoulos, Fotios, Apiletti, Daniele, Assimakopoulos, Vassilios, Babai, Mohamed Zied, Barrow, Devon K., Taieb, Souhaib Ben, Bergmeir, Christoph, Bessa, Ricardo J., Bijak, Jakub, Boylan, John E., Browell, Jethro, Carnevale, Claudio, Castle, Jennifer L., Cirillo, Pasquale, Clements, Michael P., Cordeiro, Clara, Oliveira, Fernando Luiz Cyrino, De Baets, Shari, Dokumentov, Alexander, Ellison, Joanne, Fiszeder, Piotr, Franses, Philip Hans, Frazier, David T., Gilliland, Michael, Gönül, M. Sinan, Goodwin, Paul, Grossi, Luigi, Grushka-Cockayne, Yael, Guidolin, Mariangela, Guidolin, Massimo, Gunter, Ulrich, Guo, Xiaojia, Guseo, Renato, Harvey, Nigel, Hendry, David F., Hollyman, Ross, Januschowski, Tim, Jeon, Jooyoung, Jose, Victor Richmond R., Kang, Yanfei, Koehler, Anne B., Kolassa, Stephan, Kourentzes, Nikolaos, Leva, Sonia, Li, Feng, Litsiou, Konstantia, Makridakis, Spyros, Martin, Gael M., Martinez, Andrew B., Meeran, Sheik, Modis, Theodore, Nikolopoulos, Konstantinos, Önkal, Dilek, Paccagnini, Alessia, Panagiotelis, Anastasios, Panapakidis, Ioannis, Pavía, Jose M., Pedio, Manuela, Pedregal, Diego J., Pinson, Pierre, Ramos, Patrícia, Rapach, David E., Reade, J. James, Rostami-Tabar, Bahman, Rubaszek, Michał, Sermpinis, Georgios, Shang, Han Lin, Spiliotis, Evangelos, Syntetos, Aris A., Talagala, Priyanga Dilini, Talagala, Thiyanga S., Tashman, Len, Thomakos, Dimitrios, Thorarinsdottir, Thordis, Todini, Ezio, Arenas, Juan Ramón Trapero, Wang, Xiaoqian, Winkler, Robert L., Yusupova, Alisa, Ziel, Florian
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large n
Externí odkaz:
http://arxiv.org/abs/2012.03854
Publikováno v:
Multinational Business Review, 2022, Vol. 31, Issue 1, pp. 91-110.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MBR-12-2021-0175
Autor:
Lacheta, Lucca, Gao, Xueqin, Miles, Jon Wesley, Murata, Yoichi, Fukase, Naomasa, Utsunomiya, Hajime, Dornan, Grant, Tashman, Scott, Kashyap, Ritesh, Altintas, Burak, Ravuri, Sudheer, Philippon, Marc, Huard, Johnny, Millett, Peter J.
Publikováno v:
In Arthroscopy: The Journal of Arthroscopic and Related Surgery December 2023 39(12):2408-2419
Real-Time Bidding (RTB) display advertising is a method for purchasing display advertising inventory in auctions that occur within milliseconds. The performance of RTB campaigns is generally measured with a series of Key Performance Indicators (KPIs)
Externí odkaz:
http://arxiv.org/abs/2007.00426
Autor:
Hofmann, Paul, Tashman, Zaid
We show how Markov mixed membership models (MMMM) can be used to predict the degradation of assets. We model the degradation path of individual assets, to predict overall failure rates. Instead of a separate distribution for each hidden state, we use
Externí odkaz:
http://arxiv.org/abs/2005.09971
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