End-to-End Incremental Learning | RDL Research Database

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
Access: Closed

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APA Style

                            
                                    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

Identifiers

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