{"id":"W2104094955","doi":"10.1007/s10994-009-5152-4","title":"A theory of learning from different domains","year":2009,"lang":"en","type":"article","venue":"Machine Learning","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":3486,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Advanced Research Projects Agency; Defense Advanced Research Projects Agency; University of Pennsylvania; National Science Foundation","keywords":"Classifier (UML); Computer science; Weighting; Discriminative model; Artificial intelligence; Bounding overwatch; Pattern recognition (psychology); Bayes error rate; Labeled data; Machine learning; Test data; Quadratic classifier; Divergence (linguistics); Algorithm; Bayes classifier; Support vector machine; Naive Bayes classifier","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}