Search Results - subject:"algorithm"

Analyzing decision-making in deep-Q reinforcement learning for trading : a case study on Tesla company and its supply chain

Janda, Karel; Petit, Mathieu - 2024

This study addresses the economic rationale behind algorithmic trading in the Electric Vehicle (EV) sector, enhancing the interpretability of Q-learning agents. By integrating EV-specific data, such as Tesla's stock fundamentals and key supply chain players such as Albemarle and Panasonic...

Persistent link: https://www.econbiz.de/10015149439

Algorithmic inclusion : shaping the predictive algorithms of artificial intelligence in hiring

Kelan, Elisabeth - In: Human resource management journal : HRMJ ; the … 34 (2024) 3, pp. 694-707

Persistent link: https://www.econbiz.de/10015149520

Algorithms in personnel selection, applicants' attributions about organizations' intents and organizational attractiveness : an experimental study

Koch-Bayram, Irmela Fritzi; Kaibel, Chris - In: Human resource management journal : HRMJ ; the … 34 (2024) 3, pp. 733-752

Persistent link: https://www.econbiz.de/10015149524

Novel comparative methodology of hybrid support vector machine with meta-heuristic algorithms to develop an integrated candlestick technical analysis model

Mahmoodi, Armin; Hashemi, Leila; Mahmoodi, Amin; … - In: Journal of capital markets studies 8 (2024) 1, pp. 67-94

competition algorithm (ICA) and genetic algorithm (GA). Design/methodology/approach In addition, among the developed algorithms …

Persistent link: https://www.econbiz.de/10015047541

A (slightly) improved approximation algorithm for metric TSP

Karlin, Anna R.; Klein, Nathan; Gharan, Shayan Oveis - In: Operations research 72 (2024) 6, pp. 2543-2594

Persistent link: https://www.econbiz.de/10015371524

Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms

Agyemang, Edmund Fosu - In: Statistics in transition : an international journal of … 25 (2024) 4, pp. 51-77

Statistics in Transition new series vol.25, 2024, 4, Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms, DOI https://doi.org/10.59139/stattrans-2024-003, Edmund Fosu Agyemang

Persistent link: https://www.econbiz.de/10015338081

Deterministic modelling of implied volatility in cryptocurrency options with underlying multiple resolution momentum indicator and non-linear machine learning regression algorithm

Leung, F.; Law, M.; Djeng, S. K. - In: Financial innovation : FIN 10 (2024), pp. 1-25

. Instead of using a simple linear regression as in previous studies, we use a machine learning regression algorithm, namely … learning random forest algorithm also performed better than a simple linear regression. Compared to prevailing option pricing …

Persistent link: https://www.econbiz.de/10015361594

An overview of statistical and neural-based line segmentation methods for offline handwriting recognition task

Yakovchuk, Oleg; Rogoza, Walery - In: Technology audit and production reserves 1 (2024) 2/75, pp. 14-19

Persistent link: https://www.econbiz.de/10014497327

Use of autoencoder and one-hot encoding for customer segmentation

Smutek, Tomasz; Sikora, Janusz W.; Bogacki, Sylwester; … - In: European research studies 27 (2024), pp. 72-82

Persistent link: https://www.econbiz.de/10014543578

Blinded by "algo economicus" : reflecting on the assumptions of algorithmic management research to move forward

Lamers, Laura; Meijerink, Jeroen; Rettagliata, Giorgio - In: Human resource management 63 (2024) 3, pp. 413-426

Persistent link: https://www.econbiz.de/10014543767