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</html><thumbnail_url>https://internetofus.eu/internetofus.eu/wp-content/uploads/sites/38/2020/05/ijcai20.org_landscape_2.jpg</thumbnail_url><thumbnail_width>1325</thumbnail_width><thumbnail_height>756</thumbnail_height><description>The paper &#x201C;Learning in the Wild with Incremental Skeptical Gaussian Processes&#x201D; submitted to the IJCAI-PRICAI-2020 Conference from&#xA0;University of Trento (Italy), by authors&#xA0;Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia and Andrea Passerini, has been accepted. The ability to learn from human supervision is fundamental for personal assistants and other interactive applications of AI. Two central challenges for&hellip;</description></oembed>
