{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:19:00Z","timestamp":1740028740534,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"abstract":"<jats:p>The classical setting of the supervised learning problem is to learn a decision rule from labeled data where data is points in some space &amp;Xscr; and labels are in {+1,&amp;minus;1}. In this paper we consider an extension of this supervised learning setting: given training vectors in space &amp;Xscr; along with labels and description of this data in another space &amp;Xscr;*, find in space &amp;Xscr; a decision rule better than the one found in the classical setting [1]. Thus, in this setting we use two spaces for describing the training data but the test data is given only in the space &amp;Xscr;. In this paper, using SVM type algorithms, we demonstrate the potential advantage of the new setting.<\/jats:p>","DOI":"10.3233\/978-1-58603-898-4-3","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:11:46Z","timestamp":1739992306000},"source":"Crossref","is-referenced-by-count":0,"title":["Learning using hidden information: Master-class learning"],"prefix":"10.3233","author":[{"family":"Vapnik Vladimir","sequence":"additional","affiliation":[]},{"family":"Vashist Akshay","sequence":"additional","affiliation":[]},{"family":"Pavlovitch Natalya","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["NATO Science for Peace and Security Series - D: Information and Communication Security","Mining Massive Data Sets for Security"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:23:16Z","timestamp":1739992996000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=1874-6268&volume=19&spage=3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-58603-898-4-3","relation":{},"ISSN":["1874-6268"],"issn-type":[{"value":"1874-6268","type":"print"}],"subject":[],"published":{"date-parts":[[2008]]}}}