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A motivating and challenging example comes from human activity recognition in which smart home and other datasets are used to classify human activities to support applications such as ambient assisted living, health monitoring, and behavioural intervention. Building a robust and meaningful classifier needs annotated ground truth, labelled with what activities are actually being observed\u2014and acquiring high-quality, detailed, continuous annotations remains a challenging, time-consuming, and error-prone task, despite considerable attention in the literature. In this article, we use knowledge-driven ensemble learning to develop a technique that can combine classifiers built from individually labelled datasets, even when the labels are sparse and heterogeneous. The technique both relieves individual users of the burden of annotation and allows activities to be learned individually and then transferred to a general classifier. We evaluate our approach using four third-party, real-world smart home datasets and show that it enhances activity recognition accuracies even when given only a very small amount of training data.<\/jats:p>","DOI":"10.1145\/3368272","type":"journal-article","created":{"date-parts":[[2020,2,24]],"date-time":"2020-02-24T18:22:16Z","timestamp":1582568536000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["<i>XLearn<\/i>"],"prefix":"10.1145","volume":"11","author":[{"given":"Juan","family":"Ye","sequence":"first","affiliation":[{"name":"School of Computer Science, University of St Andrews, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Dobson","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of St Andrews, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Franco","family":"Zambonelli","sequence":"additional","affiliation":[{"name":"Dipartimento di Scienze e Metodi dell\u2019Ingegneria, Universita\u2019 di Modena e Reggio Emilia, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,1,10]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25167-2_12"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2010.03.004"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"e_1_2_1_4_1","volume-title":"Latent feature learning for activity recognition using simple sensors in smart homes. 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