Search Results - subject:"Machine Learning"

Forecasting and evaluation of non-performing loans in the Turkish banking sector

Altınbaş, Hazar; Hanişoğlu, Gülay - In: Istanbul business research 52 (2023) 2, pp. 381-406

fourth quarter of 2019 were forecasted with two machine learning methods, namely random forests and boosted trees, by using …

Persistent link: https://www.econbiz.de/10014426601

Using domain-specific word embeddings to examine the demand for skills

Chaturvedi, Sugat; Mahajan, Kanika; Siddique, Zahra - 2023

We study the demand for skills by using text analysis methods on job descriptions in a large volume of ads posted on an online Indian job portal. We make use of domain-specific unlabeled data to obtain word vector representations (i.e., word embeddings) and discuss how these can be leveraged for...

Persistent link: https://www.econbiz.de/10014428020

Stigma and take-up of labor market assistance : evidence from two field experiments

Osman, Adam; Speer, Jamin D. - 2023

effects on take-up of job assistance programs. However, using compositional analysis and machine learning methods, we document …

Persistent link: https://www.econbiz.de/10014428448

Machine learning simulates agent-based model towards optimal policy : a surrogate model for public policy assessment

Furtado, Bernardo Alves; Andreão, Gustavo Onofore - 2023

on empirical data, thus allowing for heterogeneous response to policies. We use a random forest machine learning … beneficial to each place. In addition to providing MR-specific policies' results, the use of machine learning to simulate an ABM …

Persistent link: https://www.econbiz.de/10014428794

Machine learning and data balancing methods for bankruptcy prediction

Liashenko, Olena; Kravets, Tetyana; Kostovetskyi, Yevhenii - In: Mokslo darbai / Vilniaus Universitetas 102 (2023) 2, pp. 28-46

The paper examines the use of various machine learning algorithms for the task of forecasting the company’s bankruptcy … compared, in particular, data balancing methods. Nine machine learning algorithms are implemented, in addition five data …

Persistent link: https://www.econbiz.de/10014428868

Power mismatch and civil conflict : an empirical investigation

Morelli, Massimo; Ogliari, Laura; Hong, Long - 2023 - This version: October, 2023

Persistent link: https://www.econbiz.de/10014429101

Service anomaly detection in dry bulk terminals : a machine learning approach

Ansorena, Iñigo L. - In: International journal of shipping and transport … 17 (2023) 3, pp. 281-302

Persistent link: https://www.econbiz.de/10014430017

Machine learning methods in finance : recent applications and prospects

Hoang, Daniel; Wiegratz, Kevin - In: European financial management : the journal of the … 29 (2023) 5, pp. 1657-1701

Persistent link: https://www.econbiz.de/10014430234

Analysis of crypto-assets, blockchain investor protection, and U.S. market risks using the mlogit classifier model

Kasztelnik, Karina - In: The journal of business and economic studies 27 (2023) 1, pp. 23-35

to present unique findings regarding crypto-assets. The machine learning model confirmed better accuracy compared to … develop more machine learning models to ensure more accurate findings and discussions. The mlogit method research presented …

Persistent link: https://www.econbiz.de/10014430369

Addressing distributional shifts in operations management : the case of order fulfillment in customized production

Senoner, Julian; Kratzwald, Bernhard; Kuzmanovic, Milan; … - In: Production and operations management : the flagship … 32 (2023) 10, pp. 3022-3042

Persistent link: https://www.econbiz.de/10014430649