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Machine learning in airline crew pairing to construct initial clusters for dynamic constraint aggregation
Yaakoubi, Yassine; Soumis, François; Lacoste-Julien, Simon - In: EURO journal on transportation and logistics 9 (2020) 4, pp. 1-14
The crew pairing problem (CPP) is generally modelled as a set partitioning problem where the flights have to be partitioned in pairings. A pairing is a sequence of flight legs separated by connection time and rest periods that starts and ends at the same base. Because of the extensive list of...
Persistent link: https://www.econbiz.de/10012390926
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An evaluation of the bihyperbolic function in the optimization of the backpropagation algorithm
Miguez, Geraldo; Xavier, Adilson Elias; Maculan F., Nelson - In: International transactions in operational research : … 21 (2014) 5, pp. 835-854
Persistent link: https://www.econbiz.de/10010413600
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Artificial intelligence in asset management
Bartram, Söhnke M.; Branke, Jürgen; Motahari, Mehrshad - 2020 - This revision 01 April 2020
Persistent link: https://www.econbiz.de/10012217351
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Evolutionary algorithms and artificial intelligence in drug discovery : opportunities, tools, and prospects
Sharma, Moolchand; Deswal, Suman - In: International journal of networking and virtual … 27 (2022) 4, pp. 267-297
Persistent link: https://www.econbiz.de/10014315018
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A hands-on machine learning primer for social scientists : math, algorithms and code
Askitas, Nikos - 2024
This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...
Persistent link: https://www.econbiz.de/10014535259
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Salp swarm optimisation with deep transfer learning enabled retinal fundus image classification model
Gupta, Indresh Kumar; Choubey, Abha; Choubey, Siddhartha - In: International journal of networking and virtual … 27 (2022) 2, pp. 163-180
Persistent link: https://www.econbiz.de/10014314602
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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub; Sakowski, Paweł; Ślepaczuk, Robert - 2023
Persistent link: https://www.econbiz.de/10014448222
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Ensembled LSTM with walk forward optimization in algorithmic trading
Chojnacki, Karol; Ślepaczuk, Robert - 2023
Persistent link: https://www.econbiz.de/10014308890
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A hands-on machine learning primer for social scientists : math, algorithms and code
Askitas, Nikos - 2024
This paper addresses the steep learning curve in Machine Learning faced by non-computer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage ”once you understand OLS, you can work...
Persistent link: https://www.econbiz.de/10015070152
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Improvement of Neural Networks with Swarm Intelligence Algorithm for Credit Scoring
Zhang, Runchi - 2019
that have been trained with the optimal swarm intelligence algorithm. Specifically, we trained neural network with seven … different swarm intelligence algorithm (bat algorithm, chicken swarm optimization, cuckoo search optimization, firefly algorithm …, particle swarm optimization, social spider algorithm, and whale swarm algorithm) to find out the superior combination of …
Persistent link: https://www.econbiz.de/10012859971