Search Results - subject:"Support Vector Machine"

AI-driven bankruptcy prediction in manufacturing SMEs : comparing machine learning techniques with logistic regression

Letkovský, Stanislav; Jenčová, Sylvia; … - In: Administrative Sciences : open access journal 16 (2026) 3, pp. 1-41

Bankruptcy prediction is currently a widely researched topic, as it typically results from a chain of negative events. Logistic Regression (LR) is one of the standard prediction tools; however, with advances in technology, machine learning (ML) methods are gaining prominence and demonstrating...

Persistent link: https://www.econbiz.de/10015634019

Intelligent policy framework : natural resource conservation, knowledge and big data analytics

Xiao, Nina; Qu, Xianhe - In: Journal of innovation & knowledge : JIK 10 (2025) 2, pp. 1-10

study employed two algorithms: Bayesian inference and a weighted Support Vector Machine (SVM) algorithm based on the grey …

Persistent link: https://www.econbiz.de/10015331637

A novel robust optimization model for nonlinear Support Vector Machine

Maggioni, Francesca; Spinelli, Andrea - In: European journal of operational research : EJOR 322 (2025) 1, pp. 237-253

Persistent link: https://www.econbiz.de/10015410212

A novel fusion Support Vector Machine integrating weak and sphere models for classification challenges with massive data

Pimentel, Jonatha Sousa; Ospina, Raydonal; Ara, Anderson - 2024

incorporating weak and sphere support vector machine to address classification challenges with massive datasets. Comparative … Vector Machine (SVM) is a powerful machine learning tool that has proven invaluable in classifying observations through …The unprecedented growth in data generation has necessitated the adoption of advanced analytical techniques. Support …

Persistent link: https://www.econbiz.de/10015101975

A performance analysis of stochastic processes and machine learning algorithms in stock market prediction

Bouasabah, Mohammed - In: Economies : open access journal 12 (2024) 8, pp. 1-12

geometric Brownian motion (GBM) models, with that of machine learning algorithms, such as Random Forest, Support Vector Machine …

Persistent link: https://www.econbiz.de/10015070753

Application of artificial intelligence data mining algorithm in enterprise management risk assessment

Zhu, Juntao - In: International journal of information systems and supply … 17 (2024) 1, pp. 1-19

Persistent link: https://www.econbiz.de/10015433098

Construction of a multimedia instructional effect assessment system of college foreign language translation based on artificial intelligence

Liu, Shuang; Yi, Man - In: International journal of information systems and supply … 17 (2024) 1, pp. 1-20

Persistent link: https://www.econbiz.de/10015433110

Financial distress prediction using artificial neural network partial least squares regression support vector machine hybrid model and logit model

Osoolian, Mohammad; Varahrami, Vida; Razavi, Hoda - In: Iranian economic review : journal of University of Tehran 28 (2024) 3, pp. 1022-1049

Persistent link: https://www.econbiz.de/10015402991

Intellectual capital forecasting for invention patent through machine learning model

Wang, Mei-Hsin; Che, Hui-Chung - In: Journal of intellectual capital 25 (2024) 7, pp. 129-150

Persistent link: https://www.econbiz.de/10015419528

Identifying marriage markets

Bolletta, Ugo; Cherchye, Laurens; Demuynck, Thomas; … - 2024

Persistent link: https://www.econbiz.de/10015050255