Regularisation of neural networks by enforcing Lipschitz continuity
Gouk, Henry, Frank, Eibe, Pfahringer, Bernhard, Cree, Michael J.
Published in Machine learning (01.02.2021)
Published in Machine learning (01.02.2021)
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Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
Dulac-Arnold, Gabriel, Levine, Nir, Mankowitz, Daniel J., Li, Jerry, Paduraru, Cosmin, Gowal, Sven, Hester, Todd
Published in Machine learning (01.09.2021)
Published in Machine learning (01.09.2021)
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HIVE-COTE 2.0: a new meta ensemble for time series classification
Middlehurst, Matthew, Large, James, Flynn, Michael, Lines, Jason, Bostrom, Aaron, Bagnall, Anthony
Published in Machine learning (01.12.2021)
Published in Machine learning (01.12.2021)
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Adaptive random forests for evolving data stream classification
Gomes, Heitor M., Bifet, Albert, Read, Jesse, Barddal, Jean Paul, Enembreck, Fabrício, Pfharinger, Bernhard, Holmes, Geoff, Abdessalem, Talel
Published in Machine learning (01.10.2017)
Published in Machine learning (01.10.2017)
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High-dimensional Bayesian optimization using low-dimensional feature spaces
Moriconi, Riccardo, Deisenroth, Marc Peter, Sesh Kumar, K. S.
Published in Machine learning (01.09.2020)
Published in Machine learning (01.09.2020)
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OWL2Vec: embedding of OWL ontologies
Chen, Jiaoyan, Hu, Pan, Jimenez-Ruiz, Ernesto, Holter, Ole Magnus, Antonyrajah, Denvar, Horrocks, Ian
Published in Machine learning (01.07.2021)
Published in Machine learning (01.07.2021)
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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
van der Schaar, Mihaela, Alaa, Ahmed M., Floto, Andres, Gimson, Alexander, Scholtes, Stefan, Wood, Angela, McKinney, Eoin, Jarrett, Daniel, Lio, Pietro, Ercole, Ari
Published in Machine learning (01.01.2021)
Published in Machine learning (01.01.2021)
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Multi-target regression via input space expansion: treating targets as inputs
Spyromitros-Xioufis, Eleftherios, Tsoumakas, Grigorios, Groves, William, Vlahavas, Ioannis
Published in Machine learning (01.07.2016)
Published in Machine learning (01.07.2016)
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Density-based weighting for imbalanced regression
Steininger, Michael, Kobs, Konstantin, Davidson, Padraig, Krause, Anna, Hotho, Andreas
Published in Machine learning (01.08.2021)
Published in Machine learning (01.08.2021)
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Loss aware post-training quantization
Nahshan, Yury, Chmiel, Brian, Baskin, Chaim, Zheltonozhskii, Evgenii, Banner, Ron, Bronstein, Alex M., Mendelson, Avi
Published in Machine learning (01.12.2021)
Published in Machine learning (01.12.2021)
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