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DTSTART:20050403T070000
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DTSTART:20051030T060000
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DTSTART;TZID=America/Toronto:20060303T113000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-le
 arning-kernels-support-vector-machines
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Learning the kernels for support vector machines
CLASS:PUBLIC
DESCRIPTION:Speaker: Shai Ben-David\n\nSupport Vector machines (SVM's) is o
 ne of the most useful and widely\napplicable machine learning techniques. 
 Each concrete application of\nSVMs depends on a successful choice of a \"k
 ernel matrix\". So far\, most\nof the work in this area has focused on dev
 eloping a variety of\nkernels and efficient algorithms for employing SVMs 
 with these\nkernels. Relatively little research attention has been given t
 o the\nquestion of how to pick a suitable kernel for any particular learni
 ng\ntask at hand.\n\nIn this work\, we analyze exactly that issue.
DTSTAMP:20260313T205910Z
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