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Procurement Analytics : Data-Driven Decision-Making in Procurement and Supply Management
Mandl, Christian - 2023
This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data...
Persistent link: https://www.econbiz.de/10014444030
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Forecasting hotel room prices when entering turbulent times : a game-theoretic artificial neural network model
Binesh, Fatemeh; Belarmino, Amanda; Rest, Jean-Pierre … - In: International journal of contemporary hospitality management 36 (2024) 4, pp. 1044-1065
Persistent link: https://www.econbiz.de/10014483807
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Neural nets in a group decision process
Leshno, Moshe; Leshno, Moshe; Ein-Dor, Phillip - In: International journal of game theory : official journal … 31 (2002) 3, pp. 447-467
Persistent link: https://www.econbiz.de/10001767485
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Entscheidungsunterstützende Systeme für Gruppen : ein rückkopplungsorientierter Ansatz
Vetschera, Rudolf - 1991
Persistent link: https://www.econbiz.de/10000822779
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Conspicuous by its absence : diagnostic expert testing under uncertainty
Dai, Tinglong; Singh, Shubhranshu - In: Marketing science : the marketing journal of the … 39 (2020) 3, pp. 540-563
Persistent link: https://www.econbiz.de/10012294681
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The decriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity
Hey, John Denis; Lotito, Gianna; Maffioletti, Anna - In: Experiments in economics : decision making and markets, (pp. 189-219). 2018
Persistent link: https://www.econbiz.de/10011971556
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Learning to play the box-sizing game : a machine learning approach for solving the e-commerce packaging problem
Kandula, Shanthan; Krishnamoorthy, Srikumar; Roy, Debjit - 2021
Persistent link: https://www.econbiz.de/10012794490
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Testing game theory of mind models for Artificial Intelligence
Harre, Michael; El-Tarifi, Husam - In: Games 15 (2024) 1, pp. 1-11
decision theory by training 69 artificial intelligence models on a dataset of 7080 human decisions in extensive form games. The … decision makers, a crucial aspect of our 'Theory of Mind'. We show that key psychological features, such as the Weber … objective is to compare the predictive power of AIs that use a representation of another agent's decision-making process in …
Persistent link: https://www.econbiz.de/10014480871
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Robust data sampling in machine learning : a game-theoretic framework for training and validation data selection
Mo, Zhaobin; Di, Xuan; Shi, Rongye - In: Games 14 (2023) 1, pp. 1-13
How to sample training/validation data is an important question for machine learning models, especially when the dataset is heterogeneous and skewed. In this paper, we propose a data sampling method that robustly selects training/validation data. We formulate the training/validation data...
Persistent link: https://www.econbiz.de/10014420298