A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers

Abstract

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Keywords

Bayesian probabilityComputer scienceArtificial intelligenceDomain adaptationMachine learningGibbs samplingClassifier (UML)Bayesian statisticsDomain (mathematical analysis)Bayesian inferencePattern recognition (psychology)Mathematics

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not.The documents may come from...

1934 Journal de Physique 1605 citations

Publication Info

Year: 2015
Type: preprint
Citations: 93
Access: Closed

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APA Style

                            
                                    Pascal Germain, 
                                
                                    Amaury Habrard, 
                                
                                    François Laviolette
                                
                                et al.
                            
                            (2015). 
                            A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers. 
                            
                            .