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A patent search strategy based on machine learning for the emerging field of service robotics
Kreuchauff, Florian Heiko; Korzinov, Vladimir V. - 2015
Emerging technologies are in the core focus of supra-national innovation policies. These strongly rely on credible data bases for being effective and efficient. However, since emerging technologies are not yet part of any official industry, patent or trademark classification systems, delineating...
Persistent link: https://www.econbiz.de/10011342183
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Model selection using database characteristics : developing a classification tree for longitudinal incidence data
Schwartz, Eric M.; Bradlow, Eric T.; Fader, Peter - In: Marketing science : the marketing journal of the … 33 (2014) 2, pp. 188-205
Persistent link: https://www.econbiz.de/10010358791
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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
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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
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A machine learning approach to improving dynamic decision making
Meyer, Georg; Adomavicius, Gediminas; Johnson, Paul E.; … - In: Information systems research : ISR 25 (2014) 2, pp. 239-263
Persistent link: https://www.econbiz.de/10010393300
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Applying machine learning algorithms to improve intrusion detection system in IoV
Houmer, Meriem; Ouaissa, Mariya; Ouaissa, Mariyam; … - In: Artificial intelligence of things in smart environments …, (pp. 35-50). 2022
Persistent link: https://www.econbiz.de/10013163586
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An improved anomaly detection process in smart vehicle using a supervised ensemble-learning framework
El Motaki, Saloua; Hirchoua, Badr - In: Artificial intelligence of things in smart environments …, (pp. 83-100). 2022
Persistent link: https://www.econbiz.de/10013163624
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Comparative analysis of methods for prediction continuous numerical features on big datasets
Kinshakov, Eduard; Parfenenko, Yuliia; Shendryk, Vira - In: Technology audit and production reserves 6 (2021) 2/62, pp. 15-17
Persistent link: https://www.econbiz.de/10013167729
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Machine learning the carbon footprint of Bitcoin mining
Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: Journal of risk and financial management : JRFM 15 (2022) 2, pp. 1-30
Building on an economic model of rational Bitcoin mining, we measured the carbon footprint of Bitcoin mining power consumption using feed-forward neural networks. We found associated carbon footprints of 2.77, 16.08 and 14.99 MtCO2e for 2017, 2018 and 2019 based on a novel bottom-up approach,...
Persistent link: https://www.econbiz.de/10012821293
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Does high-frequency social media data improve forecasts of low-frequency consumer confidence measures?
Lehrer, Steven F.; Xie, Tian; Zeng, Tao - In: Journal of financial econometrics 19 (2021) 5, pp. 910-933
Persistent link: https://www.econbiz.de/10012799054