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Base model combination algorithm for resolving tied predictions for K-nearest neighbor OVA ensemble models

Lutu, Patricia E. N.; Engelbrecht, Andries P. - In: INFORMS journal on computing : JOC 25 (2013) 3, pp. 517-526

Persistent link: https://www.econbiz.de/10009784055

An efficient FLANN model with CRO-based gradient descent learning for classification

Naik, Bighnaraj; Nayak, Janmenjoy; Behera, Himansu Sekhar - In: International journal of business information systems : … 21 (2016) 1, pp. 73-116

Persistent link: https://www.econbiz.de/10011520250

Application of predictive methods to financial data sets

Habibi, Reza - In: Financial internet quarterly 17 (2021) 1, pp. 50-61

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In...

Persistent link: https://www.econbiz.de/10012588934

Profiling and segmenting clients with the use of machine learning algorithms

Rymarczyk, Paweł; Gołąbek, Piotr; Skrzypek-Ahmed, Sylwia - In: European research studies 24 (2021) 2, pp. 513-522

Persistent link: https://www.econbiz.de/10012663956

Predicting earnings management through machine learning ensemble classifiers

Hammami, Ahmad; Zadeh, Mohammad Hendijani - In: Journal of forecasting 41 (2022) 8, pp. 1639-1660

Persistent link: https://www.econbiz.de/10013465733

Improving imbalanced machine learning with neighborhood-informed synthetic sample placement

Nasir, Murtaza; Dag, Ali; Simsek, Serhat; Ivanov, Anton; … - In: Journal of management information systems : JMIS 39 (2022) 4, pp. 1116-1145

Persistent link: https://www.econbiz.de/10013490878

Forecasting with Artificial Intelligence : Theory and Applications

Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.); … - 2023

Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...

Persistent link: https://www.econbiz.de/10014369591

Adapting support vector optimisation algorithms to textual gender classification

Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488

Persistent link: https://www.econbiz.de/10015188211

An adaptation of a prototype recursive model for evaluating and predicting micro-macro economic data in Botswana

Mwitondi, Kassim Said - In: The Botswana journal of economics : the journal of the … 7 (2010) 11, pp. 49-64

Persistent link: https://www.econbiz.de/10009674097

Machine learning-based classifiers ensemble for credit risk assessment

Pandey, Trilok Nath; Jagadev, Alok Kumar; Choudhury, D.; … - In: International journal of electronic finance : IJEF 7 (2013) 3/4, pp. 227-249

Persistent link: https://www.econbiz.de/10010400393