Search Results - subject:"Approximation algorithm"

Consumer prices : effects of learning algorithms and pandemic-related policy measures

Buchali, Katrin - 2023

Persistent link: https://www.econbiz.de/10014322447

Anti-intrusion strategy MANET inspired by the bacterial foraging optimization algorithm

Mushininga, Rodney - In: International Journal of Research in Business and … 12 (2023) 4, pp. 495-510

Persistent link: https://www.econbiz.de/10014325269

A survey of inspiring swarm intelligence models for the design of a swarm-based ontology for addressing the cyber security problem

Mugwagwa, Audecious; Chibaya, Colin; Bhero, Ernest - In: International Journal of Research in Business and … 12 (2023) 4, pp. 483-494

Persistent link: https://www.econbiz.de/10014325277

Models and algorithms for scalable collective decision making

Schmidt-Kraepelin, Ulrike - 2023

Persistent link: https://www.econbiz.de/10014325468

Algorithms for rescheduling jobs with a LIFO buffer to minimize the weighted number of late jobs

Pferschy, Ulrich; Resch, Julia; Righini, Giovanni - In: Journal of scheduling : JOS 26 (2023) 3, pp. 267-287

Persistent link: https://www.econbiz.de/10014326138

A multivariate complexity analysis of the material consumption scheduling problem

Bentert, Matthias; Bredereck, Robert; Györgyi, Péter; … - In: Journal of scheduling : JOS 26 (2023) 4, pp. 369-382

Persistent link: https://www.econbiz.de/10014326254

Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application

Goel, Himanshu; Som, Bhupender Kumar - In: Economia : revista da ANPEC 24 (2023) 1, pp. 134-146

Purpose This study aims to predict the Indian stock market (Nifty 50) by employing macroeconomic variables as input variables identified from the literature for two sub periods, i.e. the pre-coronavirus disease 2019 (COVID-19) (June 2011-February 2020) and during the COVID-19 (March 2020-June...

Persistent link: https://www.econbiz.de/10014418102

Deep reinforcement learning for option pricing and hedging under dynamic expectile risk measures

Marzban, Saeed; Delage, Erick; Li, Jonathan Yu-Meng - In: Quantitative finance 23 (2023) 10, pp. 1411-1430

Persistent link: https://www.econbiz.de/10014419168

Multivariate systemic risk measures and computation by deep learning algorithms

Doldi, A.; Feng, Y.; Fouque, Jean-Pierre; Frittelli, Marco - In: Quantitative finance 23 (2023) 10, pp. 1431-1444

Persistent link: https://www.econbiz.de/10014419169

Application of machine learning algorithms to predict hotel occupancy

Kozlovskis, Konstantins; Liu, Yuanyuan; Lace, Natalja; … - In: Journal of business economics and management 24 (2023) 3, pp. 594-613

The development and availability of information technology and the possibility of deep integration of internal IT systems with external ones gives a powerful opportunity to analyze data online based on external data providers. Recently, machine learning algorithms play a significant role in...

Persistent link: https://www.econbiz.de/10014420402