Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Artigo
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Regularisation of neural networks by enforcing Lipschitz continuityGouk, Henry ; Frank, Eibe ; Pfahringer, Bernhard ; Cree, Michael J.Machine learning, 2021-02, Vol.110 (2), p.393-416 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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2 |
Material Type: Artigo
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A survey on semi-supervised learningvan Engelen, Jesper E. ; Hoos, Holger H.Machine learning, 2020-02, Vol.109 (2), p.373-440 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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3 |
Material Type: Artigo
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High-dimensional Bayesian optimization using low-dimensional feature spacesMoriconi, Riccardo ; Deisenroth, Marc Peter ; Sesh Kumar, K. S.Machine learning, 2020-09, Vol.109 (9-10), p.1925-1943 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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4 |
Material Type: Artigo
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methodsHüllermeier, Eyke ; Waegeman, WillemMachine learning, 2021-03, Vol.110 (3), p.457-506 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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5 |
Material Type: Artigo
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Challenges of real-world reinforcement learning: definitions, benchmarks and analysisDulac-Arnold, Gabriel ; Levine, Nir ; Mankowitz, Daniel J. ; Li, Jerry ; Paduraru, Cosmin ; Gowal, Sven ; Hester, ToddMachine learning, 2021-09, Vol.110 (9), p.2419-2468 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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6 |
Material Type: Artigo
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Learning from positive and unlabeled data: a surveyBekker, Jessa ; Davis, JesseMachine learning, 2020-04, Vol.109 (4), p.719-760 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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7 |
Material Type: Artigo
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Unified SVM algorithm based on LS-DC lossZhou, Shuisheng ; Zhou, WendiMachine learning, 2023-08, Vol.112 (8), p.2975-3002 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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8 |
Material Type: Artigo
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Gradient descent optimizes over-parameterized deep ReLU networksZou, Difan ; Cao, Yuan ; Zhou, Dongruo ; Gu, QuanquanMachine learning, 2020-03, Vol.109 (3), p.467-492 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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9 |
Material Type: Artigo
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Adaptive random forests for evolving data stream classificationGomes, Heitor M. ; Bifet, Albert ; Read, Jesse ; Barddal, Jean Paul ; Enembreck, Fabrício ; Pfharinger, Bernhard ; Holmes, Geoff ; Abdessalem, TalelMachine learning, 2017-10, Vol.106 (9-10), p.1469-1495 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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10 |
Material Type: Artigo
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Multi-target regression via input space expansion: treating targets as inputsSpyromitros-Xioufis, Eleftherios ; Tsoumakas, Grigorios ; Groves, William ; Vlahavas, IoannisMachine learning, 2016-07, Vol.104 (1), p.55-98 [Periódico revisado por pares]New York: Springer USTexto completo disponível |