<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/D26E563B-33F7-4DD9-9E4D-A97D18248DD4"><efrbr-work:titleOfTheWork>Do people in HCI use machine learning?</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/D26E563B-33F7-4DD9-9E4D-A97D18248DD4"><efrbr-expression:titleOfTheExpression>Do people in HCI use machine learning?</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Σύντομη Δημοσίευση σε Συνέδριο
            Conference Short Paper
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-11-05</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">1997</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>Implementation of Machine Learning (ML) in Human Computer Interaction (HCI) work is not trivial. The article reports on a survey of 112 professional and academics specializing in HCI who were asked to state level of ML use in HCI work. Analysis showed that about one third of those who participated in the survey has used ML in conjunction with a variety of different HCI tasks. Neural networks, rule induction and statistical learning emerged as the most popular ML paradigms across HCI workers although intensive learning, such as inductive logic programming are gaining popularity among application developers. 
</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">95 –98</efrbr-expression:note><efrbr-expression:note type="conference name">Seventh International Conference on Human Computer Interaction: Symbiosis of Human and Artifact</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~vmoustakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Moustakis Vasilis
            Μουστακης Βασιλης
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            Elsevier
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