Zobrazeno 1 - 10
of 355
pro vyhledávání: '"Kleywegt, A. J."'
The operation of an ambulance fleet involves ambulance selection decisions about which ambulance to dispatch to each emergency, and ambulance reassignment decisions about what each ambulance should do after it has finished the service associated with
Externí odkaz:
http://arxiv.org/abs/2409.09158
Autor:
Guigues, Vincent, Kleywegt, Anton J., Amorim, Giovanni, Krauss, Andre, Nascimento, Victor Hugo
This is the User Manual of LASPATED library. This library is available on GitHub (at https://github.com/vguigues/LASPATED)) and provides a set of tools to analyze spatiotemporal data. A video tutorial for this library is available on Youtube. It is m
Externí odkaz:
http://arxiv.org/abs/2407.13889
Autor:
Kleywegt, Gerard J., Adams, Paul D., Butcher, Sarah J., Lawson, Cathy, Rohou, Alexis, Rosenthal, Peter B., Subramaniam, Sriram, Topf, Maya, Abbott, Sanja, Baldwin, Philip R., Berrisford, John M., Bricogne, Gérard, Choudhary, Preeti, Croll, Tristan I., Danev, Radostin, Ganesan, Sai J., Grant, Timothy, Gutmanas, Aleksandras, Henderson, Richard, Heymann, J. Bernard, Huiskonen, Juha T., Istrate, Andrei, Kato, Takayuki, Lander, Gabriel C., Lok, Shee-Mei, Ludtke, Steven J., Murshudov, Garib N., Pye, Ryan, Pintilie, Grigore D., Richardson, Jane S., Sachse, Carsten, Salih, Osman, Scheres, Sjors H. W., Schroeder, Gunnar F., Sorzano, Carlos Oscar S., Stagg, Scott M., Wang, Zhe, Warshamanage, Rangana, Westbrook, John D., Winn, Martyn D., Young, Jasmine Y., Burley, Stephen K., Hoch, Jeffrey C., Kurisu, Genji, Morris, Kyle, Patwardhan, Ardan, Velankar, Sameer
In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 45 experts in data processing, model
Externí odkaz:
http://arxiv.org/abs/2311.17640
Autor:
Zulueta-Coarasa, Teresa, Jug, Florian, Mathur, Aastha, Moore, Josh, Muñoz-Barrutia, Arrate, Anita, Liviu, Babalola, Kola, Bankhead, Pete, Gilloteaux, Perrine, Gogoberidze, Nodar, Jones, Martin, Kleywegt, Gerard J., Korir, Paul, Kreshuk, Anna, Yoldaş, Aybüke Küpcü, Marconato, Luca, Narayan, Kedar, Norlin, Nils, Oezdemir, Bugra, Riesterer, Jessica, Rzepka, Norman, Sarkans, Ugis, Serrano, Beatriz, Tischer, Christian, Uhlmann, Virginie, Ulman, Vladimír, Hartley, Matthew
Artificial Intelligence methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new methods, but access to such data is often hindered by the lack of standards for shar
Externí odkaz:
http://arxiv.org/abs/2311.10443
Autor:
Kleywegt, Anton J., Shao, Hongzhang
Finding the optimal product prices and product assortment are two fundamental problems in revenue management. Usually, a seller needs to jointly determine the prices and assortment while managing a network of resources with limited capacity. However,
Externí odkaz:
http://arxiv.org/abs/2204.04774
Autor:
Kleywegt, Anton J., Shao, Hongzhang
In ride-hailing systems, en-route time refers to the time that elapses from the moment a car is dispatched to pick up a rider until the rider is picked up. A fundamental phenomenon in ride-hailing systems is that there is a trade-off between en-route
Externí odkaz:
http://arxiv.org/abs/2111.11551
Autor:
Shao, Hongzhang, Kleywegt, Anton J.
A fundamental problem in revenue management is to optimally choose the attributes of products, such that the total profit or revenue or market share is maximized. Usually, these attributes can affect both a product's market share (probability to be c
Externí odkaz:
http://arxiv.org/abs/2007.09193
Autor:
Shao, Hongzhang, Kleywegt, Anton J.
This paper studies the joint estimation problem of a discrete choice model and the arrival rate of potential customers when unobserved stock-out events occur. In this paper, we generalize [Anupindi et al., 1998] and [Conlon and Mortimer, 2013] in the
Externí odkaz:
http://arxiv.org/abs/2003.02313
Wasserstein distributionally robust optimization (DRO) has recently achieved empirical success for various applications in operations research and machine learning, owing partly to its regularization effect. Although connection between Wasserstein DR
Externí odkaz:
http://arxiv.org/abs/1712.06050