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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

Multi-stage dynamic ensemble selection using heterogeneous learning algorithms : application on classification problems

Aziz, Nabiha; Farah, Nadir; Khadir, Mohamed Tarek - In: International journal of knowledge management studies : … 6 (2015) 1, pp. 16-30

Persistent link: https://www.econbiz.de/10011539454

Effective active learning strategies for the use of large-margin classifiers in semantic annotation : an optimal parameter discovery perspective

Xu, Kaiquan; Liao, Stephen Shaoyi; Lau, Raymond Yiu Keung; … - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 461-483

Persistent link: https://www.econbiz.de/10010399813

An evaluation of the bihyperbolic function in the optimization of the backpropagation algorithm

Miguez, Geraldo; Xavier, Adilson Elias; Maculan F., Nelson - In: International transactions in operational research : … 21 (2014) 5, pp. 835-854

Persistent link: https://www.econbiz.de/10010413600

Consumer preference elicitation of complex products using fuzzy support vector machine active learning

Huang, Dongling; Luo, Lan - In: Marketing science : the marketing journal of the … 35 (2016) 3, pp. 445-464

Persistent link: https://www.econbiz.de/10011498939

Using machine learning to model trace behavioral data from a game-based assessment

Auer, Elena M.; Mersy, Gabriel; Marin, Sebastian; … - In: International journal of selection and assessment : IJSA 30 (2022) 1, pp. 82-102

Persistent link: https://www.econbiz.de/10013163697

Prediction of stock market direction : application of machine learning models

Dimingo, Roselyn; Muteba Mwamba, John; Bonga-Bonga, Lumengo - In: Economia internazionale 74 (2021) 4, pp. 499-536

Persistent link: https://www.econbiz.de/10013164505

How communication makes the difference between a cartel and tacit collusion : a machine learning approach

Andres, Maximilian; Bruttel, Lisa Verena; Friedrichsen, Jana - 2022

This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free-form chat communication among firms in a laboratory experiment, we identify typical communication patterns for both explicit cartel formation and indirect attempts to collude...

Persistent link: https://www.econbiz.de/10013164725

A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting

Zhang, Fan; Fleyeh, Hasan; Bales, Chris - In: Journal of the Operational Research Society 73 (2022) 2, pp. 301-325

Persistent link: https://www.econbiz.de/10013170134

What can we learn from what a machine has learned? : interpreting credit risk machine learning models

Bharodia, Nehalkumar; Chen, Wei - In: The journal of risk model validation 15 (2021) 2, pp. 1-22

Persistent link: https://www.econbiz.de/10012817198

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