Keywords

ForgettingComputer scienceArtificial intelligenceArtificial neural networkEnd-to-end principleMachine learningTraining setClassifier (UML)Deep learningDeep neural networksCross entropyPattern recognition (psychology)

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Publication Info

Year
2018
Type
book-chapter
Pages
241-257
Citations
1060
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Closed

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Francisco M. Castro, Manuel J. Marín‐Jiménez, Nicolás Guil et al. (2018). End-to-End Incremental Learning. Lecture notes in computer science , 241-257. https://doi.org/10.1007/978-3-030-01258-8_15

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DOI
10.1007/978-3-030-01258-8_15